Optimizing OLSR Protocol for VANET

Vehicular ad hoc network is a non infrastructure network where each network node not only acts as a host but also acts as a router. The environment is highly dynamic due to mobile nature of nodes. The proper functioning of these networks depends upon a routing protocol that can respond to the rapid changes in the topology. Our interest is focused on the OLSR routing protocol, which uses hello and (TC) topology control messages to discover and then disseminate link state information all through the mobile ad hoc network. We discuss the impact of Hello messages on the performance of OLSR in term of packet delivery ratio, delay and throughput. The objective of this thesis is to study the impact of tuning on the performance of mobile routing Protocol, OLSR, which is proactive routing protocol. Since not many VANETs have been deployed, most of the studies are based on simulation. Also for this thesis, experiments are conducted by network simulator2.34 by using tool command language. A basic framework is employed to analyze the performance of routing protocol OLSR by tuning its parameters. We firstly evaluated the performance in terms of QOS by applying an optimization strategy that obtains automatically efficient OLSR parameter configurations by coupling two different stages: an optimization procedure and a simulation stage. It is observed that tuned-OLSR outperformed OLSR. The three basic parameters are tuned by applying genetic (GA), simulate annealing (SA) and particle swarm (PSO) algorithms. It shows considerable increase in throughput, packet delivery ratio and a substantial decrease in delay as compared to the respective performance of OLSR. The optimization methodology presented in this work (coupling meta heuristics and a simulator) offers the possibility of automatically and efficiently customizing any protocol for any VANET scenario.