Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication

This article models the multihop data-routing in vehicular ad-hoc networks as multiple criteria decision making (MCDM) four steps. First, that have impact on performance of network layer are captured and transformed into fuzzy sets. Second, sets characterized by membership functions (FMFs), which interpolated (curve fitting) based data collected from massive experimental simulations. Third, analytical hierarchy process (AHP) is exploited to identify relationships among criteria. Fourth, rules determined Takagi-Sugeno-Kang (TSK) inference system employed infer aggregate final forwarding decision. Through integrating techniques MCDM, FMF, AHP, TSK, we design a distributed opportunistic routing protocol, namely, environment router targets vehicle-to-vehicle (V2V) communication runs two main processes-road segment selection (RSS) relay vehicle (RVS). RSS intended select successive junctions through packets should travel source destination, while RVS vehicles within selected road segment. The results show our protocol performs scales well with both size density, considering combined problem end-to-end packet delivery ratio latency.