V2R Communication Protocol Based on Game Theory Inspired Clustering

We propose a vehicle-to-roadside communication protocol based on a distributed clustering algorithm where a coalitional game approach is used to stimulate the vehicles to join a cluster, and a fuzzy logic algorithm is employed to generate stable clusters by taking into account multiple metrics of vehicle velocity, moving pattern, and signal qualities between vehicles. A reinforcement learning algorithm with game theory-based reward discount is employed to guide each vehicle to select the route which can maximize the whole network performance. We conduct extensive computer simulations to show the performance advantage of the protocol over other approaches.