Geocasting in vehicular adhoc networks using particle swarm optimization

Abstract

Recently, geocast routing has been intensively investigated for reliable and efficient dissemination of information. This can be attributed to the fact that in Vehicular Adhoc Networks (VANETs), group of vehicles moving on road always shares geographical region and most of the Intelligent Transport Systems (ITS) applications require sending information to all vehicles belonging to a given geographical region. Various techniques have been used for geocasting such as peripheral node based Next Hop Vehicle (NHV) selection, voronoi diagram based NHV selection, cache agent based NHV selection etc. These techniques have shown limited performance due dynamic characteristics of VANETs. In this paper, we have proposed Geocasting through Particle Swarm Optimization (GeoPSO) protocol. GeoPSO selects NHV by using Particle Swarm Optimization (PSO) technique. The empirical results show that GeoPSO outperforms tradition techniques in terms of packet deliver and network load.