Opportunistic Energy Scheduling in Wireless Powered Sensor Networks

Wireless powered sensor networks are composed of multiple sensor nodes with limited energy supply and storage. In this paper, we consider the wireless powered sensor networks, where an energy gateway can supply energy wirelessly to the sensor nodes. The sensor nodes use the energy to transmit their data. We then propose an opportunistic energy scheduling scheme. In this scheme, the energy gateway with limited energy supply transfers energy to sensor nodes based on channel conditions. We formulate an optimization problem based on a Markov decision process to obtain the optimal energy transfer policy. The objective is to maximize the weighted energy received by the sensor nodes. We prove that the optimal policy is a structure policy, in which the numerical studies confirm the result.