CN109104752A - Based on the wireless sensor network hierarchical clustering method and system for improving population - Google Patents
Based on the wireless sensor network hierarchical clustering method and system for improving population Download PDFInfo
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- CN109104752A CN109104752A CN201810599703.9A CN201810599703A CN109104752A CN 109104752 A CN109104752 A CN 109104752A CN 201810599703 A CN201810599703 A CN 201810599703A CN 109104752 A CN109104752 A CN 109104752A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
- H04W40/10—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources based on available power or energy
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/20—Communication route or path selection, e.g. power-based or shortest path routing based on geographic position or location
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/22—Communication route or path selection, e.g. power-based or shortest path routing using selective relaying for reaching a BTS [Base Transceiver Station] or an access point
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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- 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
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Abstract
The invention discloses based on the wireless sensor network hierarchical clustering method and system for improving population, receive the dump energy information and location information that each wireless sensor node is sent in wireless sensor network, each node is obtained respectively at a distance from base station, leader cluster node is selected from node by improving particle swarm algorithm, determine the cluster that each node is added, the leader cluster node of node and its place cluster is associated, again for each cluster, according to the dump energy information of each node and its be associated with leader cluster node, the distance of base station, a relay node is selected from node by improving particle swarm algorithm, neither leader cluster node again non-relay nodes node be ordinary node, establish the rule of communication comprising timetable.The present invention is in the influence for carrying out considering dump energy and distance when the selection of leader cluster node and relay node, therefore the reasonable selection of relay node alleviates the influence of depleted of energy, improves network working performance and stability.
Description
Technical field
The present invention relates to the technical fields of wireless sensor network, more particularly to based on the wireless sensor for improving population
Network layer clustering method and system.
Background technique
Wireless network can be divided into two kinds.One is the network for having infrastructure, need fixed base stations, for example, mobile communication this
Kind wireless cellular network just needs tall and big antenna and high-power base station to support;It include mobile Ad one is foundation-free facility network
Hoc network and wireless sensor network (WSN), this network node are distributed without fixed base stations.Wireless sensor network
The official definition of network is that WSN is the wireless network being made of in a manner of self-organizing and multi-hop a large amount of static or mobile sensor
Network.Sensor node is distributed in monitoring region, constitutes network by way of self-organizing, sensor node to detection information into
Aggregation node will be sent after row preliminary treatment in a manner of multi-hop relay, then will be believed by approach such as satellite, internets again
Breath is transmitted to management node i.e. terminal user.Terminal user can also be managed and be matched to sensor network by management node
It sets, such as publication monitoring task dispatching.
Sensor network is to be integrated with the network system of monitoring, control and wireless communication, and interstitial content is very huge, Er Qiejie
Point is densely distributed to be easy to be influenced by environment and depleted of energy.Sensor network nodes are more easier to break down, due to there is section
Point break down or newly added node therefore network topology structure be it is continually changing, sensor node is solid under normal conditions
It is fixed motionless.
The wireless sensor network of the prior art is easy to be influenced by depleted of energy, influences network working performance and stabilization
Property.
Summary of the invention
For overcome the deficiencies in the prior art, the purpose of the present invention is to provide based on the wireless sensor for improving population
Network layer clustering method and system, it is intended to solve the easy shadow by depleted of energy of wireless sensor network of the prior art
The problem of ringing, influencing network working performance and stability.
The purpose of the present invention is implemented with the following technical solutions:
A kind of wireless sensor network hierarchical clustering method based on improvement population, comprising:
Obtaining step receives each wireless sensor node is sent in wireless sensor network dump energy information and position
Confidence breath;
Cluster head step is selected, according to the location information of each node, obtains each node respectively at a distance from base station;According to
The dump energy information of each node and its at a distance from base station selects cluster head section by improving particle swarm algorithm from node
Point;
Associated steps, according to the location information of each node and leader cluster node, obtain each node respectively with each cluster head
The distance of node determines the cluster that each node is added, the leader cluster node of node and its place cluster is associated;
Select relaying step, for each cluster, according to the dump energy information of each node and its be associated with leader cluster node,
The distance of base station selects a relay node by improving particle swarm algorithm from node;Neither leader cluster node and non-relaying
The node of node is ordinary node;
Establishment step establishes the rule of communication comprising timetable;The rule of communication includes: that leader cluster node is received by common
The data of node transmission are simultaneously merged, and then send relay node for fused data, relay node will be fused
Data are sent to base station.
On the basis of the above embodiments, it is preferred that the selection relaying step, specifically:
Each cluster is led to according to the dump energy information of each node and its at a distance from association leader cluster node, base station
It crosses improvement particle swarm algorithm and selects a relay node and a spare relay node from node;The spare relay node
Relay node is substituted when the dump energy of relay node is lower than predetermined value.
On the basis of above-mentioned any embodiment, it is preferred that further include:
Statistic procedure counts the variation of the dump energy information of leader cluster node and relay node, and prediction leader cluster node is in
After the out-of-service time of node.
On the basis of the above embodiments, it is preferred that further include:
Amendment step saves leader cluster node and relaying according to the out-of-service time of the leader cluster node and relay node that predict
The selection of point is modified.
On the basis of above-mentioned any embodiment, it is preferred that the timetable is used to distribute ordinary node and leader cluster node
And the communication gap between leader cluster node and relay node.
A kind of wireless sensor network hierarchical clustering system based on improvement population, comprising:
Module is obtained, for receiving the dump energy information that each wireless sensor node is sent in wireless sensor network
And location information;
Cluster head module is selected, for the location information according to each node, obtains each node respectively at a distance from base station;
According to the dump energy information of each node and its at a distance from base station, cluster is selected from node by improving particle swarm algorithm
Head node;
Relating module, for the location information according to each node and leader cluster node, obtain each node respectively with it is each
The distance of leader cluster node determines the cluster that each node is added, the leader cluster node of node and its place cluster is associated;
Select trunk module, for for each cluster, according to the dump energy information of each node and its be associated with cluster head
Node, base station distance, by improve particle swarm algorithm a relay node is selected from node;Neither leader cluster node is again non-
The node of relay node is ordinary node;
Module is established, for establishing the rule of communication comprising timetable;The rule of communication include: leader cluster node receive by
The data of ordinary node transmission are simultaneously merged, and then send relay node for fused data, and relay node will merge
Data afterwards are sent to base station.
On the basis of the above embodiments, it is preferred that the selection trunk module is used for:
Each cluster is led to according to the dump energy information of each node and its at a distance from association leader cluster node, base station
It crosses improvement particle swarm algorithm and selects a relay node and a spare relay node from node;The spare relay node
Relay node is substituted when the dump energy of relay node is lower than predetermined value.
On the basis of above-mentioned any embodiment, it is preferred that further include:
Leader cluster node is predicted in statistical module, the variation of the dump energy information for counting leader cluster node and relay node
With the out-of-service time of relay node.
On the basis of the above embodiments, it is preferred that further include:
Correction module, for the out-of-service time according to the leader cluster node and relay node predicted, to leader cluster node in
Selection after node is modified.
On the basis of above-mentioned any embodiment, it is preferred that the timetable is used to distribute ordinary node and leader cluster node
And the communication gap between leader cluster node and relay node.
Compared with prior art, the beneficial effects of the present invention are:
The invention discloses based on the wireless sensor network hierarchical clustering method and system for improving population, nothing is received
The dump energy information and location information that each wireless sensor node is sent in line sensor network obtain each node difference
At a distance from base station, by improve particle swarm algorithm leader cluster node is selected from node, obtain each node respectively with it is each
The distance of leader cluster node determines the cluster that each node is added, the leader cluster node of node and its place cluster is associated, then for
Each cluster, according to the dump energy information of each node and its at a distance from association leader cluster node, base station, by improving population
Algorithm selects a relay node from node, neither leader cluster node again non-relay nodes node be ordinary node, establish
Rule of communication comprising timetable.Wireless sensor network of the invention is examined when carrying out the selection of leader cluster node and relay node
The influence of dump energy and distance, and the corresponding relay node of each leader cluster node, therefore the conjunction of relay node are considered
Reason selection alleviates the influence of depleted of energy, to effectively improve network working performance and stability.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1 shows provided in an embodiment of the present invention a kind of poly- based on the wireless sensor network stratification for improving population
The flow diagram of class method;
Fig. 2 shows provided in an embodiment of the present invention a kind of poly- based on the wireless sensor network stratification for improving population
The structural schematic diagram of class system.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to the present invention, it should be noted that not
Under the premise of conflicting, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
Specific embodiment one
As shown in Figure 1, the embodiment of the invention provides a kind of based on the wireless sensor network stratification for improving population
Clustering method, comprising:
Obtaining step S101 receives the dump energy information that each wireless sensor node is sent in wireless sensor network
And location information;
Cluster head step S102 is selected, according to the location information of each node, obtains each node respectively at a distance from base station;
According to the dump energy information of each node and its at a distance from base station, cluster is selected from node by improving particle swarm algorithm
Head node;
Associated steps S103, according to the location information of each node and leader cluster node, obtain each node respectively with it is each
The distance of leader cluster node determines the cluster that each node is added, the leader cluster node of node and its place cluster is associated;
Select relaying step S104, for each cluster, according to the dump energy information of each node and its be associated with cluster head
Node, base station distance, by improve particle swarm algorithm a relay node is selected from node;Neither leader cluster node is again non-
The node of relay node is ordinary node;
Establishment step S105 establishes the rule of communication comprising timetable;The rule of communication include: leader cluster node receive by
The data of ordinary node transmission are simultaneously merged, and then send relay node for fused data, and relay node will merge
Data afterwards are sent to base station.
The embodiment of the present invention receives the dump energy information that each wireless sensor node is sent in wireless sensor network
And location information, each node is obtained respectively at a distance from base station, and cluster head is selected from node by improving particle swarm algorithm
Node obtains each node respectively at a distance from each leader cluster node, the cluster that each node is added is determined, by node and its place
The leader cluster node of cluster is associated, then for each cluster, according to the dump energy information of each node and its be associated with cluster head section
Point, base station distance, by improve particle swarm algorithm a relay node is selected from node, neither leader cluster node again it is non-in
After node node be ordinary node, establish include timetable rule of communication.In the embodiment of the present invention, wireless sensor network
The influence of dump energy and distance, and each leader cluster node are considered in the selection of progress leader cluster node and relay node
A corresponding relay node, therefore the reasonable selection of relay node alleviates the influence of depleted of energy, to effectively improve net
Network working performance and stability.
Preferably, the selection relaying step S104, can be with specifically: for each cluster, according to the residue of each node
Energy information and its with association leader cluster node, at a distance from base station, by improving particle swarm algorithm from being selected in one in node
After node and a spare relay node;The spare relay node is substituted when the dump energy of relay node is lower than predetermined value
Relay node.The advantage of doing so is that spare relay node is arranged for taking over the work of relay node, relay node energy is avoided
The case where data transmission is completed in time is influenced when amount is insufficient.
Preferably, the embodiment of the present invention can also include: statistic procedure, count the residual energy of leader cluster node and relay node
The variation of information is measured, predicts the out-of-service time of leader cluster node and relay node.The advantage of doing so is that can shift to an earlier date according to residue
The variation of energy information predicts the out-of-service time of leader cluster node and relay node, facilitates user to prepare in advance, improve network
Safety reduces the case where data cannot be transmitted in time.
Preferably, the embodiment of the present invention can also include: amendment step, according to the leader cluster node and relay node predicted
Out-of-service time, the selection of leader cluster node and relay node is modified.The advantage of doing so is that can be according to practical application
In feedback to script selection leader cluster node and relay node adjust, such as addition, delete etc..
The embodiment of the present invention to timetable without limitation, it is preferred that the timetable can be used to distribute ordinary node with
Communication gap between leader cluster node and leader cluster node and relay node.
In above-mentioned specific embodiment one, provide based on the wireless sensor network hierarchical clustering for improving population
Method, corresponding, the application is also provided based on the wireless sensor network hierarchical clustering system for improving population.By
It is substantially similar to embodiment of the method in system embodiment, so describing fairly simple, related place is referring to embodiment of the method
Part illustrates.System embodiment described below is only schematical.
Specific embodiment two
As shown in Fig. 2, the embodiment of the invention provides a kind of based on the wireless sensor network stratification for improving population
Clustering system, comprising:
Module 201 is obtained, for receiving the dump energy that each wireless sensor node is sent in wireless sensor network
Information and location information;
Select cluster head module 202, for the location information according to each node, obtain each node respectively with base station away from
From;According to the dump energy information of each node and its at a distance from base station, selected from node by improving particle swarm algorithm
Leader cluster node out;
Relating module 203 obtains each node respectively and often for the location information according to each node and leader cluster node
The distance of a leader cluster node determines the cluster that each node is added, the leader cluster node of node and its place cluster is associated;
Select trunk module 204, for for each cluster, according to the dump energy information of each node and its be associated with cluster
Head node, base station distance, by improve particle swarm algorithm a relay node is selected from node;Neither leader cluster node is again
The node of non-relay nodes is ordinary node;
Module 205 is established, for establishing the rule of communication comprising timetable;The rule of communication includes: that leader cluster node connects
It receives the data sent by ordinary node and is merged, then send relay node for fused data, relay node will
Fused data are sent to base station.
The embodiment of the present invention receives the dump energy information that each wireless sensor node is sent in wireless sensor network
And location information, each node is obtained respectively at a distance from base station, and cluster head is selected from node by improving particle swarm algorithm
Node obtains each node respectively at a distance from each leader cluster node, the cluster that each node is added is determined, by node and its place
The leader cluster node of cluster is associated, then for each cluster, according to the dump energy information of each node and its be associated with cluster head section
Point, base station distance, by improve particle swarm algorithm a relay node is selected from node, neither leader cluster node again it is non-in
After node node be ordinary node, establish include timetable rule of communication.In the embodiment of the present invention, wireless sensor network
The influence of dump energy and distance, and each leader cluster node are considered in the selection of progress leader cluster node and relay node
A corresponding relay node, therefore the reasonable selection of relay node alleviates the influence of depleted of energy, to effectively improve net
Network working performance and stability.
Preferably, the selection trunk module 204 can be used for: for each cluster, according to the dump energy of each node
Information and its with association leader cluster node, at a distance from base station is selected a relaying by improving particle swarm algorithm from node and is saved
Point and a spare relay node;Spare relay node substitution relaying when the dump energy of relay node is lower than predetermined value
Node.
Preferably, the embodiment of the present invention can also include: statistical module, for counting the surplus of leader cluster node and relay node
The out-of-service time of leader cluster node and relay node is predicted in the variation of complementary energy information.
Preferably, the embodiment of the present invention can also include: correction module, for according to the leader cluster node and relaying predicted
The out-of-service time of node is modified the selection of leader cluster node and relay node.
The embodiment of the present invention to timetable without limitation, it is preferred that the timetable be used to distribute ordinary node and cluster head
Communication gap between node and leader cluster node and relay node.
The present invention is from using in purpose, and in efficiency, the viewpoints such as progressive and novelty are illustrated, the practical progress having
Property, oneself meets the function that Patent Law is emphasized and promotes and use important document, and more than the present invention explanation and attached drawing are only of the invention
Preferred embodiment and oneself, the present invention is not limited to this, therefore, it is all constructed with the present invention, device, wait the approximations, thunder such as levy
With, i.e., all according to equivalent replacement made by present patent application range or modification etc., the patent application that should all belong to of the invention is protected
Within the scope of shield.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.Although present invention has been a degree of descriptions, it will be apparent that, in the item for not departing from the spirit and scope of the present invention
Under part, the appropriate variation of each condition can be carried out.It is appreciated that the present invention is not limited to the embodiments, and it is attributed to right and wants
The range asked comprising the equivalent replacement of each factor.It will be apparent to those skilled in the art that can as described above
Various other corresponding changes and deformation are made in technical solution and design, and all these change and deformation is all answered
Within this is belonged to the protection scope of the claims of the invention.
Claims (10)
1. a kind of based on the wireless sensor network hierarchical clustering method for improving population characterized by comprising
Obtaining step receives each wireless sensor node is sent in wireless sensor network dump energy information and position letter
Breath;
Cluster head step is selected, according to the location information of each node, obtains each node respectively at a distance from base station;According to each
The dump energy information of node and its at a distance from base station selects leader cluster node by improving particle swarm algorithm from node;
Associated steps, according to the location information of each node and leader cluster node, obtain each node respectively with each leader cluster node
Distance, determine the cluster that each node is added, the leader cluster node of node and its place cluster be associated;
Select relaying step, for each cluster, according to the dump energy information of each node and its be associated with leader cluster node, base station
Distance, by improve particle swarm algorithm a relay node is selected from node;Neither leader cluster node and non-relay nodes
Node be ordinary node;
Establishment step establishes the rule of communication comprising timetable;The rule of communication includes: that leader cluster node is received by ordinary node
The data of transmission are simultaneously merged, and then send relay node for fused data, and relay node is by fused data
It is sent to base station.
2. according to claim 1 based on the wireless sensor network hierarchical clustering method for improving population, feature
It is, the selection relaying step, specifically:
For each cluster, according to the dump energy information of each node and its at a distance from association leader cluster node, base station, by changing
A relay node and a spare relay node are selected from node into particle swarm algorithm;The spare relay node is in
Relay node is substituted when the dump energy of node is lower than predetermined value.
3. it is according to claim 1 or 2 based on the wireless sensor network hierarchical clustering method for improving population, it is special
Sign is, further includes:
Statistic procedure counts the variation of the dump energy information of leader cluster node and relay node, prediction leader cluster node and relaying section
The out-of-service time of point.
4. according to claim 3 based on the wireless sensor network hierarchical clustering method for improving population, feature
It is, further includes:
Amendment step, according to the out-of-service time of the leader cluster node and relay node that predict, to leader cluster node and relay node
Selection is modified.
5. it is according to claim 1 or 2 based on the wireless sensor network hierarchical clustering method for improving population, it is special
Sign is that the timetable is used to distribute between the communication between ordinary node and leader cluster node and leader cluster node and relay node
Gap.
6. a kind of based on the wireless sensor network hierarchical clustering system for improving population characterized by comprising
Module is obtained, for receiving the dump energy information and position that each wireless sensor node is sent in wireless sensor network
Confidence breath;
Cluster head module is selected, for the location information according to each node, obtains each node respectively at a distance from base station;According to
The dump energy information of each node and its at a distance from base station selects cluster head section by improving particle swarm algorithm from node
Point;
Relating module, for the location information according to each node and leader cluster node, obtain each node respectively with each cluster head
The distance of node determines the cluster that each node is added, the leader cluster node of node and its place cluster is associated;
Select trunk module, for for each cluster, according to the dump energy information of each node and its be associated with leader cluster node,
The distance of base station selects a relay node by improving particle swarm algorithm from node;Neither leader cluster node and non-relaying
The node of node is ordinary node;
Module is established, for establishing the rule of communication comprising timetable;The rule of communication includes: that leader cluster node is received by common
The data of node transmission are simultaneously merged, and then send relay node for fused data, relay node will be fused
Data are sent to base station.
7. according to claim 6 based on the wireless sensor network hierarchical clustering system for improving population, feature
It is, the selection trunk module is used for:
For each cluster, according to the dump energy information of each node and its at a distance from association leader cluster node, base station, by changing
A relay node and a spare relay node are selected from node into particle swarm algorithm;The spare relay node is in
Relay node is substituted when the dump energy of node is lower than predetermined value.
8. it is according to claim 6 or 7 based on the wireless sensor network hierarchical clustering system for improving population, it is special
Sign is, further includes:
Statistical module, the variation of the dump energy information for counting leader cluster node and relay node, prediction leader cluster node is in
After the out-of-service time of node.
9. according to claim 8 based on the wireless sensor network hierarchical clustering system for improving population, feature
It is, further includes:
Correction module saves leader cluster node and relaying for the out-of-service time according to the leader cluster node and relay node predicted
The selection of point is modified.
10. the wireless sensor network hierarchical clustering system according to claim 6 or 7 based on improvement population,
It is characterized in that, the timetable is used to the communication distributed between ordinary node and leader cluster node and leader cluster node and relay node
Gap.
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CN109661013A (en) * | 2019-02-28 | 2019-04-19 | 中国联合网络通信集团有限公司 | A kind of method for message transmission and system |
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CN109661013A (en) * | 2019-02-28 | 2019-04-19 | 中国联合网络通信集团有限公司 | A kind of method for message transmission and system |
CN110493802A (en) * | 2019-08-27 | 2019-11-22 | 内蒙古大学 | A kind of optimization method and its optimization device of wireless sensor network APTEEN Routing Protocol |
CN110493802B (en) * | 2019-08-27 | 2022-03-18 | 内蒙古大学 | Optimization method and optimization device for APTEEN routing protocol of wireless sensor network |
CN112051824A (en) * | 2020-09-22 | 2020-12-08 | 吴信强 | Operation and maintenance system based on industrial Internet of things |
CN113938967A (en) * | 2020-12-08 | 2022-01-14 | 技象科技(浙江)有限公司 | Node switching method, device and system based on migration information and storage medium |
CN113938967B (en) * | 2020-12-08 | 2024-04-09 | 技象科技(南京)有限公司 | Node switching method, device and system based on migration information and storage medium |
CN118201025A (en) * | 2024-05-14 | 2024-06-14 | 广州易而达科技股份有限公司 | Networking method, device, equipment and storage medium of Wi-Fi-based mesh network |
CN118201025B (en) * | 2024-05-14 | 2024-07-19 | 广州易而达科技股份有限公司 | Networking method, device, equipment and storage medium of Wi-Fi-based mesh network |
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