Vehicular Ad Hoc Network performance enhancement using VOA based Road Side Unit Deployment

Abstract

Road side unit (RSU) is the key element in VANET architecture. It is used to improve communication range, driving awareness, traffic safety, signal acknowledgement and violation. However, VANET faces major challenges in RSU deployment. To achieve the objectives of RSU deployment problem i.e. minimizing the cost of deployment and maximizing network coverage; swarm intelligence algorithm have been used in the literature. In our work, Virus optimization algorithm (VOA) has been applied on VANET to generate optimal solutions and is compared with swarm family algorithms such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The outcome generated shows the expertise of the suggested algorithm i.e. VOA in terms of optimal RSU deployment and also on various performance metrics like overlapping rate, average transmission time and network connectivity.