Finding Optimal Configuration of DSDV using Particle Swarm Optimization
نویسندگان
چکیده
Vehicular Ad-hoc network (VANET) is prominent research area in Mobile ad-hoc network (MANET). VANET are very dynamic in nature as it has no predefined structure for communication. The performance of VANET dependents on parameter configuration of the protocol used in. The optimal parameter configuration in protocol can improve the QoS of VANET. Further, finding the optimal values of the parameters configuration is not easy because there is multiple combination of parameters configuration. Therefore, we have used particle swarm optimization technique, a metaheuristic, to find the optimal parameter configuration in real scenario. The result of experiment shows that there is 11. 96% drop in average End to End Delay, 5. 42% drop in Normalized Routing load and 5. 74% gain in Packet Delivery based on the optimal configuration found against the default parameter configuration in DSDV.
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