Distributed wireless energy scheduling for wireless powered sensor networks

Dusit Niyato, Xiao Lu, Ping Wang, Dong In Kim, Zhu Han

Abstract: A wireless powered communication network is a potential application of wireless energy harvesting to improve convenience and flexibility. However, wireless energy transfer from a wireless energy source has to be scheduled to minimize energy usage while meeting quality of service (QoS) requirements of sensor nodes in the network. In this paper, we consider wireless powered sensor network whose sensor nodes have auxiliary energy sources in addition to dedicated wireless energy transfer. We propose a distributed wireless energy transfer scheduling to achieve the aforementioned objective and meet the requirements. We formulate a constrained stochastic game model to obtain a multi-policy constrained Nash equilibrium of wireless energy transfer request. This equilibrium instructs the sensor node to request for wireless energy transfer based on its local state. The performance evaluation shows that the analytical model is well verified by numerical simulations.