Cluster head selection method based on heterogeneous Internet of vehicles clustering

Abstract

The invention relates to a cluster head selection method based on heterogeneous Internet of vehicles clustering. The cluster head selection method based on heterogeneous Internet of vehicles clustering includes the following steps: 1) according to current vehicle distribution on a road, each base station performs maximized cluster member clustering at a maximum transmission distance defined by IEEE 802.11p, and transmits the clustering information to each vehicle; 2) a vehicle broadcasts the own vehicle motion information to all vehicles in the cluster and receives the vehicle motion information of other vehicles in the cluster at the same time, and calculates values of clustering attributes of the vehicle, wherein the clustering attributes include relative confidence distance, relative mobility, transmission reachable rate, and channel quality indication between the base stations; 3) the each base station obtains the weight of each clustering attribute through an analytic hierarchy process; and 4) the each base station selects the optimal node as the cluster head through a description preference method. Compared with the prior art, the cluster head selection method based on heterogeneous Internet of vehicles has the advantages of reducing the network packet loss rate, improving the cluster structure stability, improving the link transmission rate between the cluster head and the eNodeB and the resource utilization ratio, and the like.

Description

technical field [0001] The invention relates to a cellular network communication technology and a vehicle networking communication technology, in particular to a cluster head selection method based on heterogeneous vehicle networking clustering. Background technique [0002] Research on Internet of Vehicles aims to ensure road traffic safety, improve driving efficiency, and enrich functions such as in-vehicle entertainment. Combined with modern wireless communication technology, the vehicle detects and feeds back the traffic conditions and road surface information of the road in real time, and uploads it to the Internet to make a traffic report. Other road surface infrastructure obtains corresponding traffic reports through the backhaul network, informs vehicles and roads in its area of ​​traffic conditions, and provides corresponding data information for vehicle scheduling and emergency handling. Connected vehicles rely on nearby network access nodes to download and update...

AI Technical Summary

Problems solved by technology

The traditional vehicle communication mode mainly focuses on the communication under the 802.11p protocol, the transmission distance is within 300 meters, and the stability of message transmission is insufficient

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