Identification of Appropriate Relay Node Using Fuzzy System

When vehicles in an ad hoc network are able to exchange data with one another and with infrastructure units along the road (V-V communication) via their driver information systems and internet connection, this improves overall road safety. The fast-paced nature of vehicle movement, the scarcity of available wireless resources, and the instability of the wireless channel make it difficult to establish successful multi-hop communication in a VANET. The authors of this work propose a strategy for intelligent forward routing that takes into account many criteria using fuzzy logic. “Our proposed method selects the greedy next node for data forwarding based on a combination of node stability cost and positive progress value.” In this case, For effective data transmission toward the destination, the node stability cost has been constantly analyzed using fuzzy logic based multi-criteria to choose the next hop ahead vehicle or road side units (RSUs). Criteria: Vehicle traffic density, Path link quality, Communication Range from current relay to neighbor, Vehicle Speed Difference, In order to choose the best next hop node for the relay, the link's expiry time and the node's positive movement toward the destination have been analyzed using fuzzy logic. For the purpose of framework evaluation, a fuzzy next hop forwarding system based on artificial intelligence has been made available. The simulation results have shown that the provided approach outperforms the currently used protocol. Improved packet delivery ratio, less need for next-hop selection, and shorter overall delays are the results.