Genetic Algorithm-Based Energy-Efficiency via Role Sharing Protocol for Wireless Sensor Networks

This study proposes a genetic algorithm-based (GA-based) ERoS (Energy-efficiency via Role Sharing) protocol with capable of predicting the optimal probability of cluster heads to enhance the performance of cluster-based wireless sensor networks. The proposed GA-based ERoS protocol, termed ERoS-GA, which basically includes set-up and steady-state phases for each round in the protocol, and a preparation phase is added at the beginning of the first round to obtain the optimal probability of nodes being cluster heads from the base station via genetic algorithm computation. The preparation phase is performed only once before the set-up phase of the first round, and the processes of following set-up and steady-state phases in every round are the same as ERoS. Simulation results show that the proposed genetic-algorithmbased ERoS protocol can produce optimal energy consumption effectively for the wireless sensor networks, resulting in a prolongation for entire network lifetime.