Game theory based distributed energy efficient access point selection for wireless sensor network

In this paper, the distributed energy consumption optimization of sensors in wireless sensor network (WSN) is studied. The access point selection for sensors is critical to the energy consumption because of the limited scope of wireless communication. Due to the high complexity of the central optimization, the desired approach of optimization is the distributed one with lower computation complexity. A game model is proposed for the energy efficient AP selection problem, which is proved to be an exact potential game. Also, a distributed learning algorithm is proposed to achieve the globally optimum in a distributed manner. Simulation results show that the proposed would improve the energy efficiency in the WSN.