Optimal Configuration for Urban VANETs Routing using Particle Swarm Optimization

Optimization Link State Routing Protocol (OLSR) is initially designed for ad hoc networks (MANETs). This protocol collects information to build and maintain the route between the source and the destination with minimum cost by periodically exchange Hello and control messages. The aggregate function of communication cost for all nodes computed based on the required performance metrics. The standard configuration of OLSR is insufficient with vehicular ad hoc networks (VANETs) due to its limited Wi-Fi coverage and high mobility that cause rapid changes in its topology. The limitation of the ordinary OLSR could produce the greatest amount of the generated routing overhead which in turn leads to a high degradation in the overall VANETs performance. In this paper, Particle Swarm Optimization is used to find optimal parameters to tune OLSR by aggregating the response performance metrics generated in a realistic VANETs simulation. The simulation results show that OLSR with optimum parameters achieved better performance in urban environment as compared to the ordinary OLSR.