CN117499888A - Vehicle wireless remote communication transmission method and system based on Internet of vehicles - Google Patents
Vehicle wireless remote communication transmission method and system based on Internet of vehicles Download PDFInfo
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Abstract
The invention relates to a vehicle wireless remote communication transmission method and system based on the Internet of vehicles, which belong to the technical field of Internet of vehicles management. According to the invention, the optimal transmission path and the transmission path combination are screened through the genetic algorithm according to the information occupation condition of the Internet of vehicles, so that the situations that certain delay is generated during information transmission and the information transmission speed is low during information transmission can be reduced, the situation that the transmitted information is possibly incomplete and the information of the Internet of vehicles cannot be updated in time is avoided, and the vehicle network experience of a user is improved.
Description
Technical Field
The invention relates to the technical field of Internet of vehicles management, in particular to a vehicle wireless remote communication transmission method and system based on Internet of vehicles.
Background
The internet of vehicles is a technology for extracting an automobile electronic label from an information network through wireless radio frequency and other technologies to realize full-face management of vehicles. Along with the same and development of science and technology and the automobile industry, the concept of the internet of vehicles is continuously changed, and the world electric vehicle association defines the internet of vehicles as the way situation which is comprehensively perceived by using advanced sensor, intelligent control and other technologies, so that the whole-course monitoring of vehicles and the monitoring of whole road sections and whole time spaces are realized, and the traffic pattern of zero blockage and safety is formed. The internet of vehicles emphasizes the linkage among vehicles, vehicles and road infrastructure, vehicles and pedestrians, vehicles and background data, and the factors can be linked by means of a communication technology to form an ad hoc network so as to realize direct communication among node elements. Under the promotion of scientific technology, the development of the Internet of vehicles technology is widely focused in the industry, and new concepts and methods are required to be continuously integrated to improve the technical operation. In recent years, the development state of the Internet of vehicles communication technology is good, the application of various technologies is realized, great convenience is provided for drivers and users, such as Internet of vehicles, intelligent logistics and the like, which are all the application of the Internet of vehicles communication technology, and great convenience is provided for the life of people. However, the internet of vehicles performs information transmission through vehicles or users, and further converges into an information network, and at present, the information is affected by the occupation of information transmission during the information transmission, which may result in a certain delay during the information transmission and a slow information transmission speed during the information transmission, so that the transmitted information may be incomplete and the information of the internet of vehicles may not be updated in time.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides a vehicle wireless remote communication transmission method and system based on the Internet of vehicles.
In order to achieve the above purpose, the invention adopts the following technical scheme:
the invention provides a vehicle wireless remote communication transmission method based on the Internet of vehicles, which comprises the following steps:
constructing an Internet of vehicles communication network, and acquiring information transmission occupation data information of each information transmission path and real-time information transmission request information through the Internet of vehicles communication network;
the information transmission occupation data information of each information transmission path is evaluated, an evaluation result is obtained, and an information transmission difference value is generated based on the evaluation result and real-time information transmission request information;
acquiring an information transmission difference value of each information transmission path according to the information transmission difference value, and selecting an optimal information transmission path according to real-time information transmission request information when the information transmission difference value of the information transmission path is not smaller than a transmission path of a preset information transmission threshold value;
when no transmission path exists, the information transmission difference value is not smaller than the preset information transmission threshold value, the real-time information transmission request information is preprocessed, an information transmission path combination is generated, and data transmission is carried out based on the information transmission path combination.
Further, in the method, constructing the internet of vehicles communication network specifically includes:
initializing an internet of vehicles communication network, acquiring information transmission occupation data information of the internet of vehicles communication network and maximum information transmission occupation data information of the current internet of vehicles communication network within preset time, and constructing an internet of vehicles communication network occupation preference prediction model based on LSTM;
constructing a feature matrix according to information transmission occupation data information of the Internet of vehicles communication network within preset time, and inputting the feature matrix into an Internet of vehicles communication network occupation preference prediction model to perform coding learning;
acquiring the occupation preference data information of the largest Internet of vehicles communication network within the preset time through an Internet of vehicles communication network occupation preference prediction model, and judging that the largest Internet of vehicles communication network occupation preference data information within the preset time is larger than the largest information transmission occupation data information of the current Internet of vehicles communication network;
when the maximum vehicle networking communication network occupation preference data information within the preset time is larger than the maximum information transmission occupation data information of the current vehicle networking communication network, the vehicle networking communication network is expanded and optimized, and the vehicle networking communication network is regulated regularly.
Further, in the method, by evaluating the information transmission occupation data information of each information transmission path, an evaluation result is obtained, and an information transmission difference value is generated based on the evaluation result and the real-time information transmission request information, which specifically includes:
acquiring the maximum information transmission occupation data information of each information transmission path in the current Internet of vehicles communication network;
calculating the residual information transmission occupied data information of each information transmission path according to the information transmission occupied data information of each information transmission path and the maximum information transmission occupied data information of the information transmission path;
and generating an evaluation result according to the residual information transmission occupied data information of the information transmission path, and generating an information transmission difference value based on the evaluation result and the real-time information transmission request information.
Further, in the method, when there is a transmission path with an information transmission difference value of the information transmission paths not smaller than a preset information transmission threshold, an optimal information transmission path is selected according to real-time information transmission request information, which specifically includes:
when the information transmission difference value of the information transmission paths is not smaller than the transmission path of the preset information transmission threshold value, acquiring the information transmission difference value of each information transmission path when transmitting information;
Constructing an information transmission difference value sorting table, inputting the information transmission difference value of each information transmission path when transmitting information into the information transmission difference value sorting table for sorting, and obtaining the sorting result of the information transmission difference value sorting table;
acquiring information transmission path information corresponding to the maximum information transmission difference value from the sorting result of the information transmission difference value sorting table, and acquiring working state information of the information transmission path information corresponding to the maximum information transmission difference value;
and when the working state information of the information transmission path information corresponding to the maximum information transmission difference value is an abnormal state, re-selecting the information transmission path information corresponding to the information transmission difference value of the next priority as an optimal information transmission path.
Further, in the method, when there is no transmission path with an information transmission difference value not smaller than a preset information transmission threshold, the information transmission request information is preprocessed in real time, and an information transmission path combination is generated, which specifically includes the following steps:
when no transmission path exists, the information transmission difference value of which is not smaller than the preset information transmission threshold value, acquiring the residual information transmission occupied data information of each information transmission path, and counting the total residual information transmission network occupied data information of each information transmission path;
Introducing a genetic algorithm when the total remaining information transmission network occupies data information which is larger than real-time information transmission request information, and carrying out initialization cutting processing on the real-time information transmission request information to generate a plurality of cutting fragments of the real-time information transmission request information;
distributing the cutting fragments of the real-time information transmission request information into a plurality of information transmission paths for transmission, generating an information transmission path combination, presetting information transmission rate threshold information, and calculating estimated information transmission rate information of the cutting fragments of the real-time information transmission request information when the information transmission paths transmit information;
when the estimated information transmission rate information is lower than the information transmission rate threshold information, the information transmission path combination is adjusted according to the genetic algorithm until the estimated information transmission rate information is not lower than the information transmission rate threshold information, and the information transmission path combination is output.
Further, in the method, data transmission is performed based on the combination of information transmission paths, which specifically includes:
marking the cutting segments of each piece of real-time information transmission request information, generating marking sequence information, and carrying out data transmission on the cutting segments of the real-time information transmission request information according to the information transmission path combination;
After the data transmission is completed, performing data splicing processing on the cut fragments of the information transmission request information according to the marking sequence information, and generating spliced real-time information transmission request information;
acquiring original real-time information transmission request information, comparing the spliced real-time information transmission request information with the original real-time information transmission request information to obtain a deviation rate, and judging whether the deviation rate is larger than a preset deviation rate threshold value;
and when the deviation rate is larger than a preset deviation rate threshold value, re-splicing the spliced real-time information transmission request information until the deviation rate is not larger than the preset deviation rate threshold value.
The second aspect of the invention provides a vehicle wireless remote communication transmission system based on the internet of vehicles, the vehicle wireless remote communication transmission system based on the internet of vehicles comprises a memory and a processor, the memory comprises a vehicle wireless remote communication transmission method program based on the internet of vehicles, and when the vehicle wireless remote communication transmission method program based on the internet of vehicles is executed by the processor, the following steps are realized:
constructing an Internet of vehicles communication network, and acquiring information transmission occupation data information of each information transmission path and real-time information transmission request information through the Internet of vehicles communication network;
The information transmission occupation data information of each information transmission path is evaluated, an evaluation result is obtained, and an information transmission difference value is generated based on the evaluation result and real-time information transmission request information;
acquiring an information transmission difference value of each information transmission path according to the information transmission difference value, and selecting an optimal information transmission path according to real-time information transmission request information when the information transmission difference value of the information transmission path is not smaller than a transmission path of a preset information transmission threshold value;
when no transmission path exists, the information transmission difference value is not smaller than the preset information transmission threshold value, the real-time information transmission request information is preprocessed, an information transmission path combination is generated, and data transmission is carried out based on the information transmission path combination.
Further, in the system, the construction of the internet of vehicles communication network specifically includes:
initializing an internet of vehicles communication network, acquiring information transmission occupation data information of the internet of vehicles communication network and maximum information transmission occupation data information of the current internet of vehicles communication network within preset time, and constructing an internet of vehicles communication network occupation preference prediction model based on LSTM;
constructing a feature matrix according to information transmission occupation data information of the Internet of vehicles communication network within preset time, and inputting the feature matrix into an Internet of vehicles communication network occupation preference prediction model to perform coding learning;
Acquiring the occupation preference data information of the largest Internet of vehicles communication network within the preset time through an Internet of vehicles communication network occupation preference prediction model, and judging that the largest Internet of vehicles communication network occupation preference data information within the preset time is larger than the largest information transmission occupation data information of the current Internet of vehicles communication network;
when the maximum vehicle networking communication network occupation preference data information within the preset time is larger than the maximum information transmission occupation data information of the current vehicle networking communication network, the vehicle networking communication network is expanded and optimized, and the vehicle networking communication network is regulated regularly.
Further, in the present system, when there is no transmission path with an information transmission difference value not smaller than a preset information transmission threshold, the method includes the steps of:
when no transmission path exists, the information transmission difference value of which is not smaller than the preset information transmission threshold value, acquiring the residual information transmission occupied data information of each information transmission path, and counting the total residual information transmission network occupied data information of each information transmission path;
introducing a genetic algorithm when the total remaining information transmission network occupies data information which is larger than real-time information transmission request information, and carrying out initialization cutting processing on the real-time information transmission request information to generate a plurality of cutting fragments of the real-time information transmission request information;
Distributing the cutting fragments of the real-time information transmission request information into a plurality of information transmission paths for transmission, generating an information transmission path combination, presetting information transmission rate threshold information, and calculating estimated information transmission rate information of the cutting fragments of the real-time information transmission request information when the information transmission paths transmit information;
when the estimated information transmission rate information is lower than the information transmission rate threshold information, the information transmission path combination is adjusted according to the genetic algorithm until the estimated information transmission rate information is not lower than the information transmission rate threshold information, and the information transmission path combination is output.
The third aspect of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a vehicle wireless telecommunication transmission method program based on the internet of vehicles, and when the vehicle wireless telecommunication transmission method program based on the internet of vehicles is executed by a processor, the steps of any one of the vehicle wireless telecommunication transmission methods based on the internet of vehicles are implemented.
The invention solves the defects existing in the background technology, and has the following beneficial effects:
according to the invention, the information transmission occupied data information and the real-time information transmission request information of each information transmission path are acquired through the Internet of vehicles communication network, the information transmission occupied data information of each information transmission path is evaluated, an evaluation result is acquired, an information transmission difference value is generated based on the evaluation result and the real-time information transmission request information, the information transmission difference value of each information transmission path is acquired according to the information transmission difference value, when the transmission path with the information transmission difference value of the information transmission path not smaller than a preset information transmission threshold value exists, the optimal information transmission path is selected according to the real-time information transmission request information, when the transmission path with the information transmission difference value not smaller than the preset information transmission threshold value does not exist, the real-time information transmission request information is preprocessed, an information transmission path combination is generated, and data transmission is performed based on the information transmission path combination. According to the invention, the optimal transmission path and the transmission path combination are screened through the genetic algorithm according to the information occupation condition of the Internet of vehicles, so that the situations that certain delay is generated during information transmission and the information transmission speed is low during information transmission can be reduced, the situation that the transmitted information is possibly incomplete and the information of the Internet of vehicles cannot be updated in time is avoided, and the vehicle network experience of a user is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other embodiments of the drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 shows an overall method flow diagram of a vehicle wireless telecommunication transmission method based on the Internet of vehicles;
FIG. 2 shows a first method flow diagram of a vehicle wireless telecommunication transmission method based on the Internet of vehicles;
FIG. 3 shows a second method flow diagram of a vehicle wireless telecommunication transmission method based on the Internet of vehicles;
fig. 4 shows a system block diagram of a vehicle wireless telecommunication transmission system based on the internet of vehicles.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
As shown in fig. 1, the first aspect of the present invention provides a vehicle wireless telecommunication transmission method based on internet of vehicles, comprising the following steps:
s102, constructing a vehicle networking communication network, and acquiring information transmission occupied data information and real-time information transmission request information of each information transmission path through the vehicle networking communication network;
s104, evaluating the information transmission occupation data information of each information transmission path to obtain an evaluation result, and generating an information transmission difference value based on the evaluation result and real-time information transmission request information;
s106, acquiring an information transmission difference value of each information transmission path according to the information transmission difference value, and selecting an optimal information transmission path according to real-time information transmission request information when the information transmission difference value of the information transmission paths is not smaller than a transmission path of a preset information transmission threshold value;
s108, when no transmission path with the information transmission difference value not smaller than the preset information transmission threshold exists, preprocessing the real-time information transmission request information, generating an information transmission path combination, and carrying out data transmission based on the information transmission path combination.
The invention filters the optimal transmission path and the transmission path combination through the genetic algorithm according to the information occupation condition of the Internet of vehicles, can reduce the conditions of certain delay generated during information transmission and low information transmission speed generated during the information transmission, thereby avoiding the situation that the transmitted information is possibly incomplete and the information of the Internet of vehicles cannot be updated in time and improving the vehicle network experience of users. The information transmission occupied data information can be information transmission speed occupied information, and because the communication base station of the internet of vehicles is limited, an upper limit of the information transmission speed exists, namely the maximum information transmission occupied data information of the communication network of the internet of vehicles is a fixed value.
As shown in fig. 2, it should be noted that, in the method, the construction of the internet of vehicles communication network specifically includes:
s202, initializing an Internet of vehicles communication network, acquiring information transmission occupation data information of the Internet of vehicles communication network and maximum information transmission occupation data information of the current Internet of vehicles communication network within preset time, and constructing an Internet of vehicles communication network occupation preference prediction model based on LSTM;
S204, constructing a feature matrix according to information transmission occupation data information of the Internet of vehicles communication network within preset time, and inputting the feature matrix into an Internet of vehicles communication network occupation preference prediction model to perform coding learning;
s206, acquiring the occupation preference data information of the largest Internet of vehicles communication network within the preset time through an Internet of vehicles communication network occupation preference prediction model, and judging that the largest Internet of vehicles communication network occupation preference data information within the preset time is larger than the largest information transmission occupation data information of the current Internet of vehicles communication network;
and S208, when the maximum vehicle networking communication network occupation preference data information within the preset time is larger than the maximum information transmission occupation data information of the current vehicle networking communication network, expanding and optimizing the vehicle networking communication network, and periodically adjusting the vehicle networking communication network.
It should be noted that, because the communication base station of the internet of vehicles is limited, there is an upper limit of the information transmission speed, that is, the maximum information transmission occupied data information of the internet of vehicles is a fixed value. The occupation preference data information of the largest Internet of vehicles communication network within the preset time is obtained through the Internet of vehicles communication network occupation preference prediction model, so that the Internet of vehicles communication network is regularly adjusted according to the occupation preference data information of the largest Internet of vehicles communication network within the preset time, for example, the data of a communication base station are adjusted, the upper load limit of the information transmission speed of the Internet of vehicles is improved, and the rationality of the Internet of vehicles communication network is improved.
Further, in the method, by evaluating the information transmission occupation data information of each information transmission path, an evaluation result is obtained, and an information transmission difference value is generated based on the evaluation result and the real-time information transmission request information, which specifically includes:
acquiring the maximum information transmission occupation data information of each information transmission path in the current Internet of vehicles communication network;
calculating the residual information transmission occupied data information of each information transmission path according to the information transmission occupied data information of each information transmission path and the maximum information transmission occupied data information of the information transmission path;
and generating an evaluation result according to the residual information transmission occupied data information of the information transmission path, and generating an information transmission difference value based on the evaluation result and the real-time information transmission request information.
It should be noted that, the information transmission difference may be a positive value or a negative value, and when the difference is a positive value, the remaining information transmission occupied data information of the information transmission path is larger than the real-time information transmission request information; otherwise, the information of the occupied data of the residual information transmission of the information transmission path is smaller than the real-time information transmission request information.
Further, in the method, when there is a transmission path with an information transmission difference value of the information transmission paths not smaller than a preset information transmission threshold, an optimal information transmission path is selected according to real-time information transmission request information, which specifically includes:
when the information transmission difference value of the information transmission paths is not smaller than the transmission path of the preset information transmission threshold value, acquiring the information transmission difference value of each information transmission path when transmitting information;
constructing an information transmission difference value sorting table, inputting the information transmission difference value of each information transmission path when transmitting information into the information transmission difference value sorting table for sorting, and obtaining the sorting result of the information transmission difference value sorting table;
acquiring information transmission path information corresponding to the maximum information transmission difference value from the sorting result of the information transmission difference value sorting table, and acquiring working state information of the information transmission path information corresponding to the maximum information transmission difference value;
and when the working state information of the information transmission path information corresponding to the maximum information transmission difference value is an abnormal state, re-selecting the information transmission path information corresponding to the information transmission difference value of the next priority as an optimal information transmission path.
When there is a transmission path whose information transmission difference is not smaller than a preset information transmission threshold, it is indicated that the transmission path can transmit data within a predetermined time, and an optimal information transmission path can be selected by the method.
As shown in fig. 3, in the method, when there is no transmission path with an information transmission difference value not smaller than a preset information transmission threshold, the method includes the steps of:
s302, when no transmission path exists, the information transmission difference value of which is not smaller than a preset information transmission threshold value, acquiring the residual information transmission occupied data information of each information transmission path, and counting the total residual information transmission network occupied data information of each information transmission path;
s304, introducing a genetic algorithm when the total remaining information transmission network occupies data information which is larger than the real-time information transmission request information, and carrying out initialization cutting processing on the real-time information transmission request information to generate a plurality of cutting fragments of the real-time information transmission request information;
s306, distributing a plurality of real-time cutting fragments of the information transmission request information into a plurality of information transmission paths for transmission, generating an information transmission path combination, presetting information transmission rate threshold information, and calculating estimated information transmission rate information of the real-time cutting fragments of the information transmission request information when the information transmission paths transmit information;
And S308, when the estimated information transmission rate information is lower than the information transmission rate threshold information, adjusting the information transmission path combination according to the genetic algorithm until the estimated information transmission rate information is not lower than the information transmission rate threshold information, and outputting the information transmission path combination.
When there is no transmission path with the information transmission difference value not smaller than the preset information transmission threshold, it is indicated that all paths do not support rapid transmission of the real-time information transmission request information, at this time, the real-time information transmission request information is initialized and cut to generate a cutting segment of the real-time information transmission request information, so that the information transmission path combination is optimized through a genetic algorithm, a transmission path combination which accords with the estimated information transmission rate information not smaller than the information transmission rate threshold information is sought, the information transmission rationality of the internet of vehicles in the busy period of information transmission is improved, and the data of the internet of vehicles is updated timely.
Further, in the method, data transmission is performed based on the combination of information transmission paths, which specifically includes:
marking the cutting segments of each piece of real-time information transmission request information, generating marking sequence information, and carrying out data transmission on the cutting segments of the real-time information transmission request information according to the information transmission path combination;
After the data transmission is completed, performing data splicing processing on the cut fragments of the information transmission request information according to the marking sequence information, and generating spliced real-time information transmission request information;
acquiring original real-time information transmission request information, comparing the spliced real-time information transmission request information with the original real-time information transmission request information to obtain a deviation rate, and judging whether the deviation rate is larger than a preset deviation rate threshold value;
and when the deviation rate is larger than a preset deviation rate threshold value, re-splicing the spliced real-time information transmission request information until the deviation rate is not larger than the preset deviation rate threshold value.
The method can be used for recombining the cutting fragments and improving the rationality of the Internet of vehicles in information transmission.
In addition, the method can further comprise the following steps:
acquiring influence factor data information of transmission information of a transmission path, constructing a retrieval tag according to the influence factor data information, retrieving through big data based on the retrieval tag, and acquiring an information transmission abnormal probability value under each influence factor;
introducing a graph neural network, taking the information transmission abnormal probability value as a first graph node, taking the influence factor as a second graph node, constructing a directed edge description relationship, and connecting the first graph node and the second graph node based on the directed edge description relationship to construct a topological structure diagram;
Constructing an information transmission abnormal probability prediction model based on a deep neural network, acquiring an adjacent matrix corresponding to the topological result, and inputting the adjacent matrix corresponding to the topological result into the transmission abnormal probability prediction model for coding learning;
and acquiring influence factor data information in the current environment, inputting the influence factor data information in the current environment into the information transmission abnormal probability prediction model for prediction, acquiring an information transmission abnormal probability value, and readjusting an optimal information transmission path or an information transmission path combination according to the information transmission abnormal probability value.
It should be noted that, the influence factor data information includes influence factors such as temperature, humidity, electromagnetic wave type, etc., by the method, an information transmission abnormal probability value of each transmission path can be predicted, so that the information transmission path or the information transmission path combination is readjusted according to the information transmission abnormal probability value, where the information transmission abnormal probability value includes an information transmission interruption probability value, a paralysis probability value of the information transmission path, etc.
It should be noted that, readjusting the information transmission path or the information transmission path combination according to the information transmission abnormal probability value specifically includes:
Judging whether the information transmission abnormal probability value is larger than a preset information transmission abnormal probability value, and if the information transmission abnormal probability value is not larger than the preset information transmission abnormal probability value, outputting a corresponding optimal information transmission path or information transmission path combination;
if the information transmission abnormal probability value of the optimal information transmission path is larger than the preset information transmission abnormal probability value, the corresponding optimal information transmission path is removed, and the information transmission path with the next priority is used as the final information transmission path;
if the information transmission abnormal probability value of at least one information transmission path in the information transmission path combination is larger than the preset information transmission abnormal probability value, carrying out continuous iteration on the information transmission path combination according to a genetic algorithm;
and outputting a final information transmission path combination when the information transmission abnormal probability value of the information transmission path which does not exist in the information transmission path combination is larger than the preset information transmission abnormal probability value.
The method can further improve the rationality of the Internet of vehicles in information transmission.
As shown in fig. 4, the second aspect of the present invention provides a vehicle wireless telecommunication transmission system 4 based on the internet of vehicles, wherein the vehicle wireless telecommunication transmission system 4 based on the internet of vehicles comprises a memory 41 and a processor 42, the memory 41 comprises a vehicle wireless telecommunication transmission method program based on the internet of vehicles, and when the vehicle wireless telecommunication transmission method program based on the internet of vehicles is executed by the processor 42, the following steps are implemented:
Constructing an Internet of vehicles communication network, and acquiring information transmission occupation data information of each information transmission path and real-time information transmission request information through the Internet of vehicles communication network;
the information transmission occupation data information of each information transmission path is evaluated, an evaluation result is obtained, and an information transmission difference value is generated based on the evaluation result and real-time information transmission request information;
acquiring an information transmission difference value of each information transmission path according to the information transmission difference value, and selecting an optimal information transmission path according to real-time information transmission request information when the information transmission difference value of the information transmission path is not smaller than a transmission path of a preset information transmission threshold value;
when no transmission path exists, the information transmission difference value is not smaller than the preset information transmission threshold value, the real-time information transmission request information is preprocessed, an information transmission path combination is generated, and data transmission is carried out based on the information transmission path combination.
Further, in the system, the construction of the internet of vehicles communication network specifically includes:
initializing an internet of vehicles communication network, acquiring information transmission occupation data information of the internet of vehicles communication network and maximum information transmission occupation data information of the current internet of vehicles communication network within preset time, and constructing an internet of vehicles communication network occupation preference prediction model based on LSTM;
Constructing a feature matrix according to information transmission occupation data information of the Internet of vehicles communication network within preset time, and inputting the feature matrix into an Internet of vehicles communication network occupation preference prediction model to perform coding learning;
acquiring the occupation preference data information of the largest Internet of vehicles communication network within the preset time through an Internet of vehicles communication network occupation preference prediction model, and judging that the largest Internet of vehicles communication network occupation preference data information within the preset time is larger than the largest information transmission occupation data information of the current Internet of vehicles communication network;
when the maximum vehicle networking communication network occupation preference data information within the preset time is larger than the maximum information transmission occupation data information of the current vehicle networking communication network, the vehicle networking communication network is expanded and optimized, and the vehicle networking communication network is regulated regularly.
Further, in the present system, when there is no transmission path with an information transmission difference value not smaller than a preset information transmission threshold, the method includes the steps of:
when no transmission path exists, the information transmission difference value of which is not smaller than the preset information transmission threshold value, acquiring the residual information transmission occupied data information of each information transmission path, and counting the total residual information transmission network occupied data information of each information transmission path;
Introducing a genetic algorithm when the total remaining information transmission network occupies data information which is larger than real-time information transmission request information, and carrying out initialization cutting processing on the real-time information transmission request information to generate a plurality of cutting fragments of the real-time information transmission request information;
distributing the cutting fragments of the real-time information transmission request information into a plurality of information transmission paths for transmission, generating an information transmission path combination, presetting information transmission rate threshold information, and calculating estimated information transmission rate information of the cutting fragments of the real-time information transmission request information when the information transmission paths transmit information;
when the estimated information transmission rate information is lower than the information transmission rate threshold information, the information transmission path combination is adjusted according to the genetic algorithm until the estimated information transmission rate information is not lower than the information transmission rate threshold information, and the information transmission path combination is output.
The third aspect of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a vehicle wireless telecommunication transmission method program based on the internet of vehicles, and when the vehicle wireless telecommunication transmission method program based on the internet of vehicles is executed by a processor, the steps of any one of the vehicle wireless telecommunication transmission methods based on the internet of vehicles are implemented.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
The foregoing is merely illustrative embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the technical scope of the present invention, and the invention should be covered. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (10)
1. The vehicle wireless remote communication transmission method based on the Internet of vehicles is characterized by comprising the following steps of:
constructing a vehicle networking communication network, and acquiring information transmission occupation data information of each information transmission path and real-time information transmission request information through the vehicle networking communication network;
the information transmission occupation data information of each information transmission path is evaluated, an evaluation result is obtained, and an information transmission difference value is generated based on the evaluation result and real-time information transmission request information;
acquiring an information transmission difference value of each information transmission path according to the information transmission difference value, and selecting an optimal information transmission path according to the real-time information transmission request information when a transmission path with the information transmission difference value of the information transmission path not smaller than a preset information transmission threshold exists;
When no transmission path exists, the information transmission difference value is not smaller than a preset information transmission threshold value, preprocessing the real-time information transmission request information, generating an information transmission path combination, and carrying out data transmission based on the information transmission path combination.
2. The vehicle wireless remote communication transmission method based on the internet of vehicles according to claim 1, wherein the construction of the internet of vehicles communication network specifically comprises:
initializing an internet of vehicles communication network, acquiring information transmission occupation data information of the internet of vehicles communication network and maximum information transmission occupation data information of the current internet of vehicles communication network within preset time, and constructing an internet of vehicles communication network occupation preference prediction model based on LSTM;
constructing a feature matrix according to information transmission occupation data information of the Internet of vehicles communication network within the preset time, and inputting the feature matrix into the Internet of vehicles communication network occupation preference prediction model to perform coding learning;
acquiring the occupation preference data information of the largest Internet of vehicles communication network within a preset time through the Internet of vehicles communication network occupation preference prediction model, and judging that the largest Internet of vehicles communication network occupation preference data information within the preset time is larger than the largest information transmission occupation data information of the current Internet of vehicles communication network;
And when the maximum vehicle networking communication network occupation preference data information within the preset time is larger than the maximum information transmission occupation data information of the current vehicle networking communication network, expanding and optimizing the vehicle networking communication network, and periodically adjusting the vehicle networking communication network.
3. The vehicle wireless telecommunication transmission method based on the internet of vehicles according to claim 1, wherein the evaluation result is obtained by evaluating the information transmission occupation data information of each information transmission path, and the information transmission difference is generated based on the evaluation result and the real-time information transmission request information, specifically comprising:
acquiring the maximum information transmission occupation data information of each information transmission path in the current Internet of vehicles communication network;
calculating the remaining information transmission occupied data information of each information transmission path according to the information transmission occupied data information of each information transmission path and the maximum information transmission occupied data information of the information transmission path;
and generating an evaluation result according to the residual information transmission occupied data information of the information transmission path, and generating an information transmission difference value based on the evaluation result and the real-time information transmission request information.
4. The vehicle wireless telecommunication transmission method based on the internet of vehicles according to claim 1, wherein when there is a transmission path with an information transmission difference value of the information transmission path not smaller than a preset information transmission threshold, an optimal information transmission path is selected according to the real-time information transmission request information, which specifically includes:
when the information transmission difference value of the information transmission paths is not smaller than the transmission path of the preset information transmission threshold value, acquiring the information transmission difference value of each information transmission path when transmitting information;
constructing an information transmission difference value sorting table, inputting the information transmission difference value of each information transmission path when transmitting information into the information transmission difference value sorting table for sorting, and obtaining the sorting result of the information transmission difference value sorting table;
acquiring information transmission path information corresponding to the maximum information transmission difference value from the sorting result of the information transmission difference value sorting table, and acquiring working state information of the information transmission path information corresponding to the maximum information transmission difference value;
and when the working state information of the information transmission path information corresponding to the maximum information transmission difference value is an abnormal state, re-selecting the information transmission path information corresponding to the information transmission difference value of the next priority as an optimal information transmission path.
5. The vehicle wireless telecommunication transmission method based on the internet of vehicles according to claim 1, wherein when there is no transmission path with the information transmission difference value not smaller than a preset information transmission threshold, the real-time information transmission request information is preprocessed, and an information transmission path combination is generated, which specifically includes the following steps:
when no transmission path exists, the information transmission difference value of which is not smaller than a preset information transmission threshold value, acquiring the residual information transmission occupied data information of each information transmission path, and counting the total residual information transmission network occupied data information of each information transmission path;
introducing a genetic algorithm when the total remaining information transmission network occupation data information is larger than the real-time information transmission request information, and carrying out initialization cutting processing on the real-time information transmission request information to generate a plurality of cutting fragments of the real-time information transmission request information;
distributing the cutting fragments of the real-time information transmission request information to a plurality of information transmission paths for transmission, generating an information transmission path combination, presetting information transmission rate threshold information, and calculating estimated information transmission rate information of the cutting fragments of the real-time information transmission request information when the information transmission paths transmit information;
And when the estimated information transmission rate information is lower than the information transmission rate threshold information, adjusting the information transmission path combination according to the genetic algorithm until the estimated information transmission rate information is not lower than the information transmission rate threshold information, and outputting the information transmission path combination.
6. The vehicle wireless telecommunication transmission method based on the internet of vehicles according to claim 1, wherein the data transmission is performed based on the information transmission path combination, specifically comprising:
marking the cutting segments of each piece of real-time information transmission request information, generating marking sequence information, and carrying out data transmission on the cutting segments of the real-time information transmission request information according to the information transmission path combination;
after the data transmission is completed, performing data splicing processing on the cut fragments of the time information transmission request information according to the marking sequence information to generate spliced real-time information transmission request information;
acquiring original real-time information transmission request information, comparing the spliced real-time information transmission request information with the original real-time information transmission request information to obtain a deviation rate, and judging whether the deviation rate is larger than a preset deviation rate threshold value;
And when the deviation rate is larger than a preset deviation rate threshold, re-splicing the spliced real-time information transmission request information until the deviation rate is not larger than the preset deviation rate threshold.
7. The vehicle wireless remote communication transmission system based on the internet of vehicles is characterized by comprising a memory and a processor, wherein the memory comprises a vehicle wireless remote communication transmission method program based on the internet of vehicles, and when the vehicle wireless remote communication transmission method program based on the internet of vehicles is executed by the processor, the following steps are realized:
constructing a vehicle networking communication network, and acquiring information transmission occupation data information of each information transmission path and real-time information transmission request information through the vehicle networking communication network;
the information transmission occupation data information of each information transmission path is evaluated, an evaluation result is obtained, and an information transmission difference value is generated based on the evaluation result and real-time information transmission request information;
acquiring an information transmission difference value of each information transmission path according to the information transmission difference value, and selecting an optimal information transmission path according to the real-time information transmission request information when a transmission path with the information transmission difference value of the information transmission path not smaller than a preset information transmission threshold exists;
When no transmission path exists, the information transmission difference value is not smaller than a preset information transmission threshold value, preprocessing the real-time information transmission request information, generating an information transmission path combination, and carrying out data transmission based on the information transmission path combination.
8. The vehicle wireless telecommunication transmission system based on the internet of vehicles according to claim 7, wherein the construction of the internet of vehicles communication network specifically comprises:
initializing an internet of vehicles communication network, acquiring information transmission occupation data information of the internet of vehicles communication network and maximum information transmission occupation data information of the current internet of vehicles communication network within preset time, and constructing an internet of vehicles communication network occupation preference prediction model based on LSTM;
constructing a feature matrix according to information transmission occupation data information of the Internet of vehicles communication network within the preset time, and inputting the feature matrix into the Internet of vehicles communication network occupation preference prediction model to perform coding learning;
acquiring the occupation preference data information of the largest Internet of vehicles communication network within a preset time through the Internet of vehicles communication network occupation preference prediction model, and judging that the largest Internet of vehicles communication network occupation preference data information within the preset time is larger than the largest information transmission occupation data information of the current Internet of vehicles communication network;
And when the maximum vehicle networking communication network occupation preference data information within the preset time is larger than the maximum information transmission occupation data information of the current vehicle networking communication network, expanding and optimizing the vehicle networking communication network, and periodically adjusting the vehicle networking communication network.
9. The vehicle wireless telecommunication transmission system based on the internet of vehicles according to claim 7, wherein when there is no transmission path with the information transmission difference value not smaller than a preset information transmission threshold, the real-time information transmission request information is preprocessed, and an information transmission path combination is generated, which specifically includes the following steps:
when no transmission path exists, the information transmission difference value of which is not smaller than a preset information transmission threshold value, acquiring the residual information transmission occupied data information of each information transmission path, and counting the total residual information transmission network occupied data information of each information transmission path;
introducing a genetic algorithm when the total remaining information transmission network occupation data information is larger than the real-time information transmission request information, and carrying out initialization cutting processing on the real-time information transmission request information to generate a plurality of cutting fragments of the real-time information transmission request information;
Distributing the cutting fragments of the real-time information transmission request information to a plurality of information transmission paths for transmission, generating an information transmission path combination, presetting information transmission rate threshold information, and calculating estimated information transmission rate information of the cutting fragments of the real-time information transmission request information when the information transmission paths transmit information;
and when the estimated information transmission rate information is lower than the information transmission rate threshold information, adjusting the information transmission path combination according to the genetic algorithm until the estimated information transmission rate information is not lower than the information transmission rate threshold information, and outputting the information transmission path combination.
10. A computer readable storage medium, wherein the computer readable storage medium includes a vehicle wireless telecommunication transmission method program based on the internet of vehicles, and when the vehicle wireless telecommunication transmission method program based on the internet of vehicles is executed by a processor, the steps of the vehicle wireless telecommunication transmission method based on the internet of vehicles according to any one of claims 1-6 are implemented.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108900416A (en) * | 2018-06-19 | 2018-11-27 | 浙江水利水电学院 | A kind of network communication optimal path acquisition methods based on mathematical model |
CN110661715A (en) * | 2018-06-28 | 2020-01-07 | 中兴通讯股份有限公司 | Service path optimization method, device, equipment and readable storage medium |
CN115865779A (en) * | 2023-03-02 | 2023-03-28 | 北京天维信通科技有限公司 | Communication path selection method, system, terminal equipment and storage medium |
CN116847428A (en) * | 2023-07-20 | 2023-10-03 | 东风柳州汽车有限公司 | Data transmission path adjustment method, device, storage medium and apparatus |
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108900416A (en) * | 2018-06-19 | 2018-11-27 | 浙江水利水电学院 | A kind of network communication optimal path acquisition methods based on mathematical model |
CN110661715A (en) * | 2018-06-28 | 2020-01-07 | 中兴通讯股份有限公司 | Service path optimization method, device, equipment and readable storage medium |
CN115865779A (en) * | 2023-03-02 | 2023-03-28 | 北京天维信通科技有限公司 | Communication path selection method, system, terminal equipment and storage medium |
CN116847428A (en) * | 2023-07-20 | 2023-10-03 | 东风柳州汽车有限公司 | Data transmission path adjustment method, device, storage medium and apparatus |
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