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Construction of Internet of Vehicles self-organizing network community and community node communication load balancing method

A technology of self-organizing network and balancing method, which is applied in the field of Internet of Vehicles, can solve the problems of rapid change of node ownership, insufficient improvement of community stability, and short community life cycle, so as to achieve load balancing, improve community stability, and reduce data distortion. Effect

Active Publication Date: 2020-12-08
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As a result, when these influencing factors are used for community clustering, the stability of the community is not improved enough, and the clustered community still shows the characteristics of short life cycle and rapid change of node ownership

Method used

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  • Construction of Internet of Vehicles self-organizing network community and community node communication load balancing method
  • Construction of Internet of Vehicles self-organizing network community and community node communication load balancing method
  • Construction of Internet of Vehicles self-organizing network community and community node communication load balancing method

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Experimental program
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Embodiment Construction

[0125] The concrete implementation process of the present invention is as Figure 12 As shown, including the following seven aspects:

[0126] ①Community attribute definition

[0127] ② Community node role definition

[0128] ③Community Clustering and Role Assignment Method

[0129] ④Multi-role classification community load balancing algorithm

[0130] ⑤ experiment

[0131] ⑥Analysis of community stability results

[0132] ⑦Analysis of community node routing load balancing performance

[0133] ①

[0134] Community attribute definition

[0135] The present invention abstracts VANET into a weighted undirected graph structure. Vehicle nodes are regarded as points in an undirected graph, and wireless connections between vehicles are regarded as edges between points. The weighted undirected graph is denoted as G=(V G ,E G ). where V G ={ve 1 ,ve 2 ,...} represents the vertex set, ve k Denotes vertex k. E. G ={e 1 , e 2 ,...} represents the edge set, e j repre...

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Abstract

The existing community clustering methods for the Internet of Vehicles mostly use the current speed and driving direction to estimate the future position of the vehicle to determine the duration of future connections between nodes, and use this as one of the clustering basis to improve community stability. However, due to the influence of multiple factors on the future location of vehicles, the accuracy of estimating the communication connection time is low, resulting in the characteristics of short life cycle and rapid change of node community ownership in the Internet of Vehicles. At the same time, the existing Internet of Vehicles community routing protocol uses key nodes in the community as the main node for forwarding, which causes the problem of excessive load on key nodes. The present invention "Multi-Role Classified Community Load Balancing Algorithm for the Self-Organizing Network of the Internet of Vehicles." In the process of community clustering, the vehicle's future time position is considered, and the role distribution is refined in the community, and the key nodes are selected for load balancing by alternative nodes. Thereby improving community stability, balancing the load of key nodes, and reducing data transmission distortion.

Description

technical field [0001] The invention relates to the field of Internet of Vehicles. Background technique [0002] (1) Community stability [0003] Different from traditional community clustering, vehicle nodes in the Internet of Vehicles move fast, and the topological relationship between nodes changes rapidly. The traditional community clustering method used in the Internet of Vehicles will have the disadvantages of short community life cycle and low stability. [0004] In the community clustering method designed for the Internet of Vehicles, some researchers proposed to comprehensively consider the current position of the node, the current speed and the terminal position of each node when clustering the community to estimate the topological relationship of the vehicle for a period of time in the future, as a clustering basis to prolong the survival of the community. For the scenario of establishing a large community, after the head nodes of the two communities enter the ...

Claims

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Application Information

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IPC IPC(8): H04L12/721H04L12/741H04L12/803H04L29/08H04L45/74
CPCH04L45/38H04L45/54H04L45/74H04L47/125H04L67/12
Inventor 程久军原桂远
Owner TONGJI UNIV