Communication Optimization of Body Sensor Network Based on Evolutionary Multi-objective Cooperative Game

To address the conflict problem between data volume, bandwidth consumption and energy consumption in the cloud computing based body sensor networks, a scheme using evolutionary multi-objective cooperative game is proposed. First, a game model of data volume, bandwidth consumption and energy consumption is built. Then, the payoff function is constructed to carry out the coalition cooperative game so as to reach equilibrium of all objects. Furthermore, the elite retention mechanism is adopted to increase convergence speed, and the Levy flight is introduced to avoid trapping into local optimal. Experiments showed that the proposed algorithm could effectively reach equilibrium of the three targets. Moreover, compared with Multi-objective Evolutionary Algorithm and Non-cooperative Game Algorithm, it had better performance in convergence speed, distribution and diversity of solutions.