An improved AODV routing protocol based on social relationship mining for VANET

Abstract

The growing development of VANET (Vehicular Ad-hoc Network) brings possibility to exploit various mobile applications which makes people's trips comfortable, safe and full of interests. Besides, the trajectory mining of vehicles can discover the implied social relationships among vehicles which can conduct the optimizing of VANET routing protocols. In this paper, we have analyzed the cons of typical AODV (Ad-hoc On Demand Vector) protocols and proposed a social AODV protocol (SAODV) in which social relationships among vehicles based on historical trajectories are investigated and the criterion of choosing routing paths is optimized. After constructing the simulator based on "NS-3", the simulation results show that the SAODV protocol has better performance in average transmission delay and packet delivery ratio.