CN114339938B - System and method for optimizing transmission reliability of airborne wireless sensor network - Google Patents
System and method for optimizing transmission reliability of airborne wireless sensor network Download PDFInfo
- Publication number
- CN114339938B CN114339938B CN202111560364.1A CN202111560364A CN114339938B CN 114339938 B CN114339938 B CN 114339938B CN 202111560364 A CN202111560364 A CN 202111560364A CN 114339938 B CN114339938 B CN 114339938B
- Authority
- CN
- China
- Prior art keywords
- transmission
- task
- reliability
- node
- path
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000005540 biological transmission Effects 0.000 title claims abstract description 190
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000005457 optimization Methods 0.000 claims abstract description 18
- 230000008447 perception Effects 0.000 claims description 8
- 238000005265 energy consumption Methods 0.000 abstract description 3
- 238000003860 storage Methods 0.000 description 9
- 230000015654 memory Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 238000012546 transfer Methods 0.000 description 3
- 238000012790 confirmation Methods 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000005304 joining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a transmission reliability optimization system and method of an airborne wireless sensor network. The invention has good accuracy and reliability, saves time and reduces the energy consumption of airborne equipment.
Description
Technical Field
The invention belongs to the technical field of wireless communication, and particularly relates to a transmission reliability optimization system and method of an airborne wireless sensor network.
Background
The tractor has complex use environment, the difficulty of use and maintenance is increased by the wire harness for control and transmission, and the wire harness is correspondingly increased when a new system is expanded; the reliability of the wireless sensor network of the existing vehicle-mounted intelligent agent related to the packet loss rate, the transmission and the received data quantity is considered, and the definition of the reliability in the national standard GB-6583 is as follows: "product's ability to perform a specified function under specified conditions and for a specified period of time" refers broadly to any system, device or component. In the existing tractor communication system, aiming at the problems of severe use environment and complex wire harness, the coordination is mainly carried out through a CAN bus, and the technical scheme and research of wireless instead of wired are lacking.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a transmission reliability optimization method of an airborne wireless sensor network, so that the wireless sensor network transmission is more reliable.
The present invention achieves the above technical object by the following means.
The transmission reliability optimization method of the airborne wireless sensor network specifically comprises the following steps:
according to reliability H of uplink sensing transmission task of wireless sensor network Pi,centre (T, i) determining the most reliable transmission node path within the task i execution time T
(1) Judgment of H Pi,centre (t,i)≥ε upi (t) if not, re-acquiring the reliability of the t+1st moment path of the task i, otherwise, entering (2);
(2) judgment of H Pi,centre (t,i)≥ω 1 If not, entering (3), otherwise determining the most reliable transmission node path within the execution time T of the task i;
(3) judgment of H Pi,centre (t,i)≥H Pi,centre (T-1, i), if not, re-acquiring the reliability of the path of the task i at the t+1th moment, otherwise, obtaining the maximum perceived reliability, and determining the most reliable transmission node path within the execution time T of the task i;
reliability H of downlink control transmission task according to wireless sensor network centre,c (T, i) determining the most reliable transmission node path within the execution time T of the task i: judgment of H centre,c (t,i)≥ε downi (T) if the reliability of the path at the t+1st moment of the task i is not met, acquiring again, otherwise, determining the most reliable transmission node path within the execution time T of the task i;
according to the most reliable transmission node path in the execution time T of the task i, completing wireless sensor network transmission of the task i;
wherein: epsilon upi (t) is the threshold value of the uplink transmission task, ε downi (t) is the threshold of the downlink transmission task, and the threshold ω 1 >ε upi (t)。
In the above technical solution, the reliability H of the uplink transmission task of the wireless sensor network Pi,centre (t, i) is determined according to the following manner: the success of the uplink aware transmission task depends on the number of successfully received task i data packets at the central point at time t exceeding said epsilon upi (t) probability; and reliability H Pi,centre (t, i) is:
wherein:indicating the transmission task reliability of the j-th path from the minute node to the center point at time t, and +.>Is the total amount of transmission task information sent by the jth path minute node at the t moment of executing the task,/>Is the total amount of transmission task information received by the central point.
In the above technical solution, the reliability H of the downlink transmission task of the wireless sensor network centre,c (t, i) is determined according to the following manner: the success of the downlink control transmission task depends on the delivery rate between the center point and the destination node exceeding the epsilon downi (t) probability; and reliability H centre,c (t, i) is:
wherein:representing the transmission task reliability of the jth path from the center point at time t to the destination node, and +.>Is the total amount of transmission task information sent by the source node of the jth path at the t moment of executing the task,/>Is the total amount of transmission task information received by the destination node.
In the above technical solution, before reliability is obtained, node failure determination is performed according to a transmission task failure criterionMaking judgmentBreaking, wherein G Ri (t) the total amount of relevant information, ε, of the task i correctly received by the destination node C at time t i And (t) represents a threshold value for judging whether the transmission task i fails or not at the time t.
In the above technical solution, the reliability dimension of the wireless sensor network transmission task includes a task type M and a transmission task parameter; the task type comprises perception data transmission and control instruction transmission; the transmission task parameters comprise a transmission start point and a transmission end point, a transmission direction, a data packet size, a transmission threshold value and a task duration time, wherein the transmission start point and the transmission end point are a source node P and a destination node C respectively, and the transmission direction comprises uplink perception transmission and downlink control transmission.
A transmission reliability optimization system of an on-board wireless sensor network, comprising:
the most reliable transmission node path judging module is used for determining the most reliable transmission node path according to the reliability of the uplink sensing transmission task and the reliability of the downlink control transmission task;
and the wireless sensor network transmission module is used for realizing wireless sensor network transmission according to the most reliable transmission node path.
The beneficial effects of the invention are as follows:
(1) The invention relates to a transmission reliability optimization method of an airborne wireless sensor network, which is used for judging the most reliable transmission node path in the execution time T of a task i according to the reliability of an uplink sensing transmission task and the reliability of a downlink control transmission task of the wireless sensor network, and completing the wireless sensor network transmission of the task i according to the most reliable transmission node path in the execution time T of the task i; the invention has more reliable wireless sensor network transmission mechanism, reduces the increased energy consumption of network retransmission, multipath routing and the like and delay caused by retransmission, and has important application value.
(2) When the next transmission task is executed, the most reliable transmission node path is determined by reusing the transmission reliability optimization method, the transmission path is dynamically adjusted according to different transmission tasks, the accuracy is good, the time is saved, and the energy consumption of airborne equipment is reduced.
(3) The wireless sensor network is applied to the agricultural equipment with severe and complex use environment such as the tractor, the wiring harness connection is reduced, rewiring is not needed when new equipment is added, and the maintenance is simple.
Drawings
FIG. 1 is a node distribution diagram of a wireless sensor network according to the present invention;
FIG. 2 is a schematic diagram illustrating transmission between a split node and a center point according to the present invention;
FIG. 3 is a flowchart of a method for optimizing transmission reliability of an airborne wireless sensor network according to the present invention;
fig. 4 is a block diagram of a transmission reliability optimization system of the airborne wireless sensor network according to the present invention.
Detailed Description
The invention will be further described with reference to the drawings and the specific embodiments, but the scope of the invention is not limited thereto.
As shown in FIG. 1, the network topology structure adopted by the tractor wireless sensor network deployment is a multi-source single-sink network, which describes K ZigBee sub-nodes connected within the range of 1500mm radius of a sensor arrangement point at a certain part, P 1 、P 2 The method comprises the steps that two representatives selected randomly from a plurality of sub-nodes, a central point is a destination node of an uplink transmission task, the plurality of sub-nodes independently collect data packets and forward the data packets to the central point center through a multi-hop transmission sensing signal Ss; in the downlink transmission task, a central point is used for controlling a hydraulic system and an electric system of the tractor to realize end-to-end transmission control command signals Sm of the destination node C.
The ZigBee self-organizing network related to the data transmission between the sub-nodes and the central point is a key technology for realizing the wireless data transmission, and mainly comprises the hardware construction of the central point, the initialization of a network and the joining of the nodes into the network; after the central point is used as a first node to enter a wireless monitoring state, when new equipment is added, the central point of the ZigBee self-organizing network distributes a 16-bit network address which is unique in the network and is used for equipment identification and data transmission; the parent device address assignment in the 16-bit network address is as follows:
(1) assuming that the maximum number of devices that a parent device can possess is Cm, the maximum number of routing child devices that Cm can possess is Rm, the maximum depth of the network is Lm, and the short address interval Cskip between child routers assigned by the parent device at depth d is:
if rm=1, cskip=1+cm (Lm-d-1);
if rm+.1, cskip= (1+cm-Rm-Cm. Times.rm) (Lm-d-1) )/(1-Rm)。
(2) When the node is the nth sub-router of the parent device, the short address allocated by the parent device is:
Achild=Aparent+(n-1)*Cskip+1,n=1;
Achild=Aparent+(n-1)*Cskip,n>1
wherein: achild is a split node and Aparent is a center point.
(3) When the sub node is the nth sub control system platform of the parent device, the short address allocated by the parent device is:
Achild=Aparent+Rm*Cskip+n。
the specific method of the ZigBee Ad hoc network comprises the following steps:
(1) Determining a center point;
(2) After the central point is determined, the new device actively scans the central points of surrounding networks, and if a beacon is detected within the scanning period, one usable network ID (namely, a short address allocated by a 16-bit network address father device) is selected from the detected beacons;
(3) The new equipment sends a connection request instruction to the central point;
(4) Judging whether CMSA/CA (carrier sense multiple access with collision avoidance) channel access is successful or not, if yes, waiting for the center point to send an ACK confirmation frame to the new equipment, entering (5), and if not, informing an upper node by the MAC layer (channel access layer) of the new equipment;
(5) The central point sends a connection instruction command to the network layer, which indicates that a connection request of a node has been received, and judges whether network address resources are enough or not; if the connection request response is enough, the central point sends a connection request response to the new device, the new device sends an ACK confirmation frame to the central point, and if the connection request response is insufficient, the MAC layer of the new device informs the upper node.
As shown in fig. 2, the invention adopts a sensor as a sensing node to collect transmission information, the sensor is specifically arranged in a certain equipment part of a tractor, the sensing information of the sensor is transmitted to a CC2530 main control board in a ZigBee node in a wired manner, and then a transmission threshold epsilon is set upi (t) transmitting the sense signal Ss to the central point through the wireless signal transceiver; the central point can also set a transmission threshold epsilon downi And (t) transmitting a control command signal Sm to a target node C (located on the equipment part) through the ZigBee communication network, wherein the central point can control the sensor or the actuator node in the network reliably in real time.
The data information transmission between the sub-node and the center point comprises the following steps:
(1) Constructing a communication network by a central point;
(2) The node control sensor collects data information in an analog or digital I/O port mode;
(3) The partial node judges whether the acquired information is successfully received, if so, the partial node starts a sending task, and forwards the encapsulated data to other partial nodes to enter (4), and if not, the partial node returns to (3);
(4) The other sub-nodes receive the acquired information forwarded by the sub-nodes, judge whether the received information is complete or not through frame verification, if so, analyze and package, forward the data to the next sub-node through a sending task, and so on until the data is forwarded to a final central point, enter (5), and if the data frame is incomplete, discard the current data frame;
(5) The central point forwards the packaged data to a local monitoring center;
(6) The local monitoring center judges whether the received acquisition information is complete or not through verification of the data packet frame header, if so, the local monitoring center stores the data into a local database so as to facilitate the user to inquire and analyze the historical data, and if the data frame is incomplete, the received data is discarded and new data is waited to be received.
Data information transmission task reliability dimension between sub-node and central pointThe degree comprises a task type M and a transmission task parameter; the task type comprises perception data transmission and control instruction transmission; the transmission task parameters include a start point and an end point of transmission, a transmission direction, a data packet size, a transmission threshold value and a task duration, the start point and the end point of transmission are a source node P and a destination node C, respectively, and the source node set { P } i The transmission direction comprises uplink transmission sensing data and downlink transmission control instructions, and the transmission task i is a path set from the source node P to the destination node CAs shown in table 1.
Table 1 transmit task reliability dimension
As shown in fig. 3, the transmission reliability optimization method of the airborne wireless sensor network comprises the following implementation steps:
step (1), in the transmission task, assume G Ri (T) represents the total amount of relevant information correctly received by the destination node C of the task i at the moment T (T is more than or equal to 0 and less than or equal to T), G Ti (t) represents the total amount of relevant information of the task i sent by the source node P at the moment t, A i (t) represents a transmission task failure criterion ε i (t) represents a threshold value for deciding whether the transmission task i fails at the time t; when G Ri The value of (t) is equal to or greater than epsilon i At (t), A i And (t) with a value of 1, judging that the transmission task is successful, otherwise, judging that the transmission task is failed:
at time t, the wireless sensor network executes the reliability H of the transmission task i i (t) is:
step (2), judging the transmission type
Step (2.1), when m=0, the uplink sense transmission task
In the uplink perception transmission stage of the mesh topology, a plurality of ZigBee partition nodes transmit perception information to a central point, and for the same task, in a multi-source environment, the data packet perceived by each source node is not required to be successfully received by the central point; the mesh topology has lower data fusion efficiency in the network intermediate node, and the content of data packets collected by a plurality of nodes of the same task is the same at the time t on the assumption that the data perceived by a source node in the mesh topology is not subjected to data fusion, and the successful completion of the perceived task in the network depends on that the number of task i data packets successfully received by a central point at the time t exceeds a perceived task threshold epsilon upi (t) probability; therefore, the reliability H of the uplink transmission task of the wireless sensor network Pi,centre (t, i) is represented by the formula:
wherein:the reliability of the transmission task of the j-th path from the minute node to the center point at the time t is expressed (the amount of data received by the center point exceeds the sensing task threshold).
Step (2.2), when M is not equal to 0, downlink control transmission task
In the downlink control transmission, the wireless sensor network mainly completes the transmission task of the control command, and only one source node, namely the central point, is arranged in the downlink control transmission task. The central point issues control information to the destination node, wherein the content of the control information comprises inquiry, network configuration, starting and closing commands of partial equipment and the like, so that the transmission threshold epsilon of the transmission task is controlled in a downlink mode downi (t) is often a high requirement. Successful completion of a downstream control transfer task depends on the delivery rate between the central point and the destination node exceeding the transfer threshold epsilon for the downstream control transfer task downi (t) probability.
Within the downlink control transmission task time T of the mesh topology, as long as the number of data packets of the task i received by the destination node exceeds the threshold epsilon of the downlink control transmission task downi And (t) considering that the downlink control transmission task is successful. Multiple transmission paths may exist between the central point and the destination node, so that the reliability H of the downlink control transmission task at the t-time instant centre,c (t, i) is the reliability of the downlink control transmission task between the central point and the destination node, as shown in the following formula:
wherein:and the transmission task reliability of the j-th path from the center point to the destination node at the moment t is expressed.
Step (3), determining the most reliable transmission node path within the task i execution time T
(1) Judging the most reliable transmission node path within the execution time T of the task i according to the reliability of the uplink perception transmission task
(1.1) judgment of H Pi,centre (t,i)≥ε upi (t) if not, re-acquiring the reliability of the t+1st moment path of the task i, otherwise, entering (1.2);
(1.2) judgment of H Pi,centre (t,i)≥ω 1 (ω 1 >ε upi (T)) if not, entering (1.3), otherwise determining the most reliable transmission node path within the task i execution time T;
(1.3) judgment of H Pi,centre (t,i)≥H Pi,centre And (T-1, i), if the reliability of the path at the t+1 moment of the task i is not met, acquiring again, otherwise, obtaining the maximum perceived reliability, and determining the most reliable transmission node path within the execution time T of the task i.
(2) Judging the most reliable transmission node path within the execution time T of the task i according to the reliability of the downlink control transmission task
Judgment of H centre,c (t,i)≥ε downi And (T) if the reliability of the path at the t+1st moment of the task i is not met, acquiring again, otherwise, determining the most reliable transmission node path within the execution time T of the task i.
And (4) according to the most reliable transmission node path in the execution time T of the task i, completing wireless sensor network transmission of the task i, and reducing delay caused by network retransmission while reducing wiring harnesses.
As shown in fig. 4, a transmission reliability optimization system of an airborne wireless sensor network of the present invention includes:
the most reliable transmission node path judging module is used for determining the most reliable transmission node path according to the reliability of the uplink sensing transmission task and the reliability of the downlink control transmission task;
and the wireless sensor network transmission module is used for realizing wireless sensor network transmission according to the most reliable transmission node path.
Based on the same inventive concept as the transmission reliability optimization method of the on-board wireless sensor network, the present application also provides an electronic device comprising one or more processors and one or more memories in which computer readable code is stored, wherein the computer readable code, when executed by the one or more processors, performs the transmission reliability optimization method of the on-board wireless sensor network. Wherein the memory may include a non-volatile storage medium and an internal memory; the non-volatile storage medium may store an operating system and computer readable code. The computer readable code includes program instructions that, when executed, cause the processor to perform any one of a variety of methods for optimizing transmission reliability of an on-board wireless sensor network. The processor is used to provide computing and control capabilities to support the operation of the entire electronic device. The memory provides an environment for execution of computer readable code in the non-volatile storage medium, which when executed by the processor, causes the processor to perform any one of a variety of methods for optimizing transmission reliability of the on-board wireless sensor network.
It should be appreciated that the processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores computer readable codes, the computer readable codes comprise program instructions, and the processor executes the program instructions to realize the transmission reliability optimization method of the airborne wireless sensor network.
The computer readable storage medium may be an internal storage unit of the electronic device according to the foregoing embodiment, for example, a hard disk or a memory of the computer device. The computer readable storage medium may also be an external storage device of the electronic device, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, which are provided on the electronic device.
The examples are preferred embodiments of the present invention, but the present invention is not limited to the above-described embodiments, and any obvious modifications, substitutions or variations that can be made by one skilled in the art without departing from the spirit of the present invention are within the scope of the present invention.
Claims (5)
1. A transmission reliability optimization method of an airborne wireless sensor network is characterized by comprising the following steps of:
according to reliability H of uplink sensing transmission task of wireless sensor network Pi,centre (T, i) determining the most reliable transmission node path within the task i execution time T
(1) Judgment of H Pi,centre (t,i)≥ε upi (t) if not, re-acquiring the reliability of the t+1st moment path of the task i, otherwise, entering (2);
(2) judgment of H Pi,centre (t,i)≥ω 1 If not, entering (3), otherwise determining the most reliable transmission node path within the execution time T of the task i;
(3) judgment of H Pi,centre (t,i)≥H Pi,centre (T-1, i), if not, re-acquiring the reliability of the path of the task i at the t+1th moment, otherwise, obtaining the maximum perceived reliability, and determining the most reliable transmission node path within the execution time T of the task i;
reliability H of downlink control transmission task according to wireless sensor network centre,c (T, i) determining the most reliable transmission node path within the execution time T of the task i: judgment of H centre,c (t,i)≥ε downi (T) if the reliability of the path at the t+1st moment of the task i is not met, acquiring again, otherwise, determining the most reliable transmission node path within the execution time T of the task i;
according to the most reliable transmission node path in the execution time T of the task i, completing wireless sensor network transmission of the task i;
wherein: epsilon upi (t) is the threshold value of the uplink transmission task, ε downi (t) is the threshold of the downlink transmission task, and the threshold ω 1 >ε upi (t);
Reliability H of uplink transmission task of wireless sensor network Pi,centre (t, i) is determined according to the following manner: the success of the uplink aware transmission task depends on the number of successfully received task i data packets at the central point at time t exceeding said epsilon upi (t) probability; and reliability H Pi,centre (t, i) is:
wherein:representing t-time segmentationThe transmission task reliability of the j-th path from the point to the center point, and is the total amount of transmission task information sent by the jth path minute node at the t moment of executing the task,/>Is the total amount of transmission task information received by the central point.
2. The transmission reliability optimization method according to claim 1, wherein the reliability H of the downlink transmission task of the wireless sensor network centre,c (t, i) is determined according to the following manner: the success of the downlink control transmission task depends on the delivery rate between the center point and the destination node exceeding the epsilon downi (t) probability; and reliability H centre,c (t, i) is:
wherein:the transmission task reliability of the j-th path from the center point at the time t to the destination node is represented, and is the total amount of transmission task information sent by the source node of the jth path at the t moment of executing the task,/>Is the total amount of transmission task information received by the destination node.
3. The transmission reliability optimization method according to claim 1, wherein node failure determination is performed before reliability acquisition, based on transmission task failure criteriaMaking a judgment, wherein G Ri (t) the total amount of relevant information, ε, of the task i correctly received by the destination node C at time t i And (t) represents a threshold value for judging whether the transmission task i fails or not at the time t.
4. The transmission reliability optimization method according to claim 1, wherein the reliability dimension of the wireless sensor network transmission task includes a task type M and a transmission task parameter; the task type comprises perception data transmission and control instruction transmission; the transmission task parameters comprise a transmission start point and a transmission end point, a transmission direction, a data packet size, a transmission threshold value and a task duration time, wherein the transmission start point and the transmission end point are a source node P and a destination node C respectively, and the transmission direction comprises uplink perception transmission and downlink control transmission.
5. A transmission reliability optimization system for an on-board wireless sensor network implementing the method of any one of claims 1-4, comprising:
the most reliable transmission node path judging module is used for determining the most reliable transmission node path according to the reliability of the uplink sensing transmission task and the reliability of the downlink control transmission task;
and the wireless sensor network transmission module is used for realizing wireless sensor network transmission according to the most reliable transmission node path.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111560364.1A CN114339938B (en) | 2021-12-20 | 2021-12-20 | System and method for optimizing transmission reliability of airborne wireless sensor network |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111560364.1A CN114339938B (en) | 2021-12-20 | 2021-12-20 | System and method for optimizing transmission reliability of airborne wireless sensor network |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114339938A CN114339938A (en) | 2022-04-12 |
CN114339938B true CN114339938B (en) | 2024-03-19 |
Family
ID=81053588
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111560364.1A Active CN114339938B (en) | 2021-12-20 | 2021-12-20 | System and method for optimizing transmission reliability of airborne wireless sensor network |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114339938B (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101873663A (en) * | 2010-05-26 | 2010-10-27 | 北京科技大学 | Multi-path routing algorithm based on energy sensing reliability |
CN106231645A (en) * | 2016-09-22 | 2016-12-14 | 国家电网公司 | The wireless sensor network data transmission method of distribution line status monitoring |
CN112040506A (en) * | 2020-09-15 | 2020-12-04 | 海南科技职业大学 | Reliability evaluation method and device of wireless sensor network and storage medium |
CN113315559A (en) * | 2021-05-25 | 2021-08-27 | 天津大学 | Wireless sensor network based on distributed reception and transmission method thereof |
-
2021
- 2021-12-20 CN CN202111560364.1A patent/CN114339938B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101873663A (en) * | 2010-05-26 | 2010-10-27 | 北京科技大学 | Multi-path routing algorithm based on energy sensing reliability |
CN106231645A (en) * | 2016-09-22 | 2016-12-14 | 国家电网公司 | The wireless sensor network data transmission method of distribution line status monitoring |
CN112040506A (en) * | 2020-09-15 | 2020-12-04 | 海南科技职业大学 | Reliability evaluation method and device of wireless sensor network and storage medium |
CN113315559A (en) * | 2021-05-25 | 2021-08-27 | 天津大学 | Wireless sensor network based on distributed reception and transmission method thereof |
Also Published As
Publication number | Publication date |
---|---|
CN114339938A (en) | 2022-04-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP2025110B1 (en) | Method and apparatus for controlling energy consumption of sensor network nodes | |
JP5909159B2 (en) | Control apparatus and control method | |
CN103118439B (en) | based on the data fusion method of sensor network node universal middleware | |
US11038767B2 (en) | Discovery of a set of nodes in a network | |
JPH11501491A (en) | Method for initializing a wireless packet hopping network | |
US10827410B2 (en) | System, apparatus and method for robust transmission of visual data through visual sensor network | |
CN110753328A (en) | Chain type networking transmission method based on LoRa technology | |
CN106465041A (en) | Techniques allowing activation and deactivation of nodes in network | |
JP6661677B2 (en) | Wireless communication system, control circuit and control method | |
CN101651658B (en) | Method, device and system for cross-layer joint optimization in wireless Mesh network | |
KR101432976B1 (en) | Control method of sensor tag in wireless sensor network | |
CN102202430B (en) | Zigbee wireless gateway and data transmission method thereof | |
CN114339938B (en) | System and method for optimizing transmission reliability of airborne wireless sensor network | |
CN103763764A (en) | Data transmission method for electric transmission line wireless communication based on automatic power increasing retransmission mechanism | |
JPH11341041A (en) | Relay communication system, its data transfer guarantee monitoring method and communication equipment used for the method | |
US20200301397A1 (en) | Wireless communication apparatus that manages process in factory, and process management method | |
CN1964353A (en) | A protocol stack facing wireless industrial control network | |
JP5438614B2 (en) | Network reconstruction method and network system | |
CN113132988B (en) | Wireless networking link access method of street lamp controller based on token verification | |
CN104320827A (en) | Method for blind relay selection based on random access in large-scale relay network | |
US8724598B1 (en) | Method for energy-efficient, traffic-adaptive, flow-specific medium access for wireless networks | |
JP2004301430A (en) | Network air conditioning system | |
CN103997529A (en) | Method and system for utilizing gateway with dual identity for communication and gateway | |
JP2014233054A (en) | Radio system, radio base station and radio terminal | |
US11777789B1 (en) | Stable passive clustering |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |