An intelligent vehicle approach to mobile vehicular ad hoc networks - clustering optimisation in dynamic traffic networks
نویسندگان
چکیده
The application of Mobile Ad Hoc Network (MANET) technologies to Vehicular Ad Hoc Networks (VANETs) in the service of Intelligent Transportation Systems (ITS) has brought new challenges in maintaining communication clusters of network members for long time durations. Stable clustering methods reduce the overhead of communication relay in MANETs and provide for a more efficient hierarchical network topology. During creation of VANET clusters, each vehicle chooses a head vehicle to follow. Cluster stability in these simulations is measured by the average number of cluster head changes per vehicle during the simulation. In this paper we analyse the effects of six different clustering methods in a simulated highway environment to determine which method provides optimum stability over the simulation
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