Enhancing AODV Routing Protocol Using Fuzzy Logic System and Ant Colony Optimization in VANET

VANET is new generation of ad hoc networks that implement between vehicles on a road. Because of high mobility, routing in VANET has more problems than MANET. Thereby, in this paper we propose a modification on AODV as MANET routing protocol to make it adaptive for VANET. In this paper we propose FAN-AODV as routing protocol for VANET. In this paper used a combination of fuzzy logic system with ant colony optimization to predict possible link failures. When a node is mobile, it has three mobility parameters: position, direction and speed. In our method, we have used speed and position as most important parameter to predict link failure in vehicular ad hoc network. We want estimated link failure before it really broke. The main goal of FAN-AODV is toPredict link failure before it really broken, especially in theapplications that demand high mobility of nodes suchas VANETs. The proposed method uses two importantparameters of movement (speed and position) toestimate possible link failure. Finally,our simulation experiments showed that FAN-AODVprotocol works well in various traffic situations. On theother hand, our solution behaves better in situationsthose nodes having higher speeds.

کلیدواژه ها:

VANET ، Ant Colony Optimization ، Fuzzy LogicSystem ، Link Failure