Performance analysis of fuzzy co-operative adaptive cruise controller in vehicular ad hoc networks

Mobility models, which determine the movement pattern of nodes communicating wirelessly, play a vital role in the simulation-based evaluation of Vehicular Ad Hoc Networks. Realistic mobility models enable us to assess the network performance more accurately, and it is required to design a realistic mobility model that mimics the real vehicle scenario. This paper made an attempt to bring out a suitable mobility model for vehicular networks, which improves the network performance in accordance with string stability, by incorporating the concept of Fuzzy Cooperative Adaptive Cruise Control mechanism among a platoon of vehicles. The experimental study and analysis find that fuzziness improves the performance of the network in terms of packet delay ratio, delay and throughput.