A Fuzzy Optimized Route Selection Framework for Autonomous Vehicles using V-NDN

Rapid mobility and frequent disconnection in vehicular networks makes multi-hop data delivery challenging. To address this concern, adaptive data forwarding is applied over vehicular networks in a named data networking environment. We have proposed An Interest Chain based Forwarding Mechanism (ICFM), which includes a chain based forwarding mechanism by employing fuzzy logic to evaluate the next chain member. Autonomous vehicles forward a packet to the next promising vehicle and in this way a chain is formed to satisfy interest with the requested data. The proposed fuzzy-based interest chain mechanism is used to forward a packet to destination and receive a corresponding data packet with decreased data delivery delay. Experimental analysis has been performed on ndnSIM to verify the performance of the suggested scheme. The scheme runs on different scenarios and efficiency has been observed in terms of interest satisfaction ratio, average number of interest packets, average number of data packets and average delay.