Dynamic evolution method for Internet of Vehicles community

Abstract

The dynamic evolution method for the Internet of Vehicles community specifically comprises the following steps: step 1, defining related properties; step 2, a dynamic evolution method of the Internetof vehicle community. step 2.1, community change based on point increment; 2.2, community change based on edge increment; step 2.3, community change based on weight increment; and step 2.3, a dynamicevolution algorithm based on community increment. On the premise that community centripetal force and community centrifugal force are studied, the influence of detection point increment, edge increment and weight increment on community evolution is detected, the evolution mechanism of the community increment is determined, and then the evolution mechanism of a large-scale community is studied on the basis of the community increment, so that an important theoretical basis is provided for the research of the accessibility of the Internet of Vehicles.

Description

technical field [0001] The invention relates to the field of Internet of Vehicles, in particular to a method for dynamic evolution of an Internet of Vehicles community. Background technique [0002] The purpose of studying the IoV community is to accurately construct a community model in a highly dynamic scene, and provide a theoretical basis for community-based research on the accessibility of IOV. At present, the research on the Internet of Vehicles community is mainly to define the community model through the community discovery method similar to the complex network. Most of this type of research is on the analysis of the network topology and communication status of the Internet of Vehicles at a certain moment, and belongs to the category of static community discovery. However, the Internet of Vehicles is a mobile ad hoc network with highly dynamic topology changes, and the traditional static community discovery strategy alone cannot meet the real-time requirements. The...

AI Technical Summary

Problems solved by technology

[0009] The research method of the present invention is aimed at the problem that the community structure is difficult to determine in real time due to the high dynamic change of the network topology of the Internet of Vehicles. Based on the premise of community centripetal force and community centrifugal force, the influence of point increment, edge increment and weight increment on community evolution is comprehensively considered. Research on the dynamic evolution method of the Internet of Vehicles community, so as to provide key technical support for the accessibility research of the Internet of Vehicles

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