A social-aware routing protocol based on fuzzy logic in vehicular ad hoc networks

Vehicular ad hoc networks (VANETs) have aroused wide public attention over the recent years. This paper presents a social-aware routing algorithm based on fuzzy logic algorithm, which aims at improving the data packet delivery ratio and reducing end-to-end delay. In the road, nodes use greedy algorithm with cache mechanism to select next hop, which means that neighbor node which is closest to the destination will be chosen as next hop. In the intersection, the protocol uses fuzzy logic to evaluate whether a vehicle node is a good intermediate node or not by considering the following social factors: centrality, similarity, activeness. Then the proposed protocol selects next hop according to the evaluation results of fuzzy logic, node with highest priority will be selected as next hop. Simulation results show that the introduced algorithm can provide a higher delivery ratio and a shorter end-to-end delay than existing routing protocols.