Fuzzy Logic Based Agent Selection for Failure Management in VANETs

In VANETs, due to software or hardware mal-function, a failure node may absorb the network traffic and drop all packets. Failure management (i.e. identifying the failure node), plays a vital role in this situation. This task is performed by selected vehicles in the network, which are called 'agents'. Improper choice of agents can degrade the final failure node detection performance severely. For distributed schemes, agent selection for VANETs is challenging because of quick topology changes. In this paper, a fuzzy logic based agent selection method is proposed. This method comprehensively considers velocity, leadership, and routes of candidate vehicles. When the appropriate agent is selected, we deploy a neural network based failure node detection algorithm on it. We use numerical simulations to validate the effectiveness of the proposed method.