An Intelligent Fuzzy Based Location Aided Routing in Vehicular Ad Hoc Networks

Abstract

In the Vehicular Ad hoc Networks (VANET), performance is the key factor for the development of a standard routing protocol. The general characteristics of VANET are dynamic vehicle network topology and mobility. The choice of a better next forwarding hop vehicle among the available neighboring vehicles will lead better use of the route and also minimize the delays. However, there is a need for an efficient decision making in selecting the route for successful packet delivery. This paper proposes a new hybrid routing protocol called “Fuzzy assisted Location Aided Routing using Cache” (FLAR-C). FLAR-C uses a fuzzy logic technique that helps in better decision making to select the next hop for packet forwarding. Metrics like distance, direction, velocity, density and position of next hop vehicle are placed into the fuzzy logic system. And moreover, the proposed technique uses cache schemes to forward packets to the destinations under the Geocast zone. An experimental study is carried out to prove the performance of the proposed protocol and the simulation results highlights that FLAR-C is more effective in selecting the better forwarding hop for improved performance