A Fuzzy Clustering Algorithm for Vehicular Ad Hoc Networks

Abstract

The invention provides a fuzzy clustering algorithm for a vehicle-mounted self-organizing network, which belongs to the technical field of vehicle-mounted self-organizing networks. The vehicle owner sets the maximum energy consumption data of the vehicle-mounted free networking of his own vehicle, and stores it in the vehicle-mounted device; the base station or relay station is initially determined The cluster head vehicle within the scope of the networking area; the cluster head vehicle broadcasts and communicates with the nodes within the network area to form a network to realize communication; the present invention sets the maximum energy consumption of the vehicle by the owner and the user, so that the energy consumption of the network can be set according to The car owner sets up the network by himself, which makes it more humane, and reduces some car owners' dissatisfaction with the user agent after their own vehicle becomes a cluster head vehicle, which consumes too much energy. The cluster member node vehicles in the new cluster selection area elect the next cluster head vehicle so that the cluster head vehicle can serve the network for the longest time after being selected, thus making the entire network more stable.

Description

technical field [0001] The invention relates to the field of vehicle ad hoc network technology, in particular to a fuzzy clustering algorithm for a vehicle ad hoc network. Background technique [0002] With the rapid development of key technologies such as wireless communication technology, on-board embedded computing, and various on-board sensors, Vehicular ad hoc network (VANET) is considered to be a very large-scale mobile ad hoc network with a high degree of practicality. The vehicle-mounted ad hoc network is a safe, fast, effective, and open-structured vehicle-to-vehicle communication intelligent transportation system composed of vehicles and vehicles, vehicles and roadside units (Roadside Units, RSUs), which can realize accident warning, assisted driving, etc. application. For example, in the application of accident warning, the driver can rely on vehicle communication to obtain the vehicle conditions of other vehicles (such as vehicle speed, direction, position, brak...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a fuzzy clustering algorithm for vehicle-mounted ad hoc networks, which solves technical problems such as the instability of the existing vehicle-mounted network and the fact that the energy consumption of the network cannot be determined according to the vehicle owner.

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