Sum Throughput Optimization for Wireless Powered Sensor Networks

This paper investigates a wireless powered sensor network (WPSN), where multiple sensor nodes are deployed to monitor certain external environment. A multi-antenna power beacon (PB) provides the power to these sensor nodes during wireless energy transfer (WET) phase, and then the sensor nodes employ the harvested energy to transmit their own monitoring information to one fusion center (FC) during wireless information transfer (WIT) phase. We maximize the system sum throughput of the sensor network considering two different scenarios, i.e., PB and the sensor nodes belong to the same/different service operator(s). For the first scenario, we propose an approach to jointly design the energy beamforming and the energy time allocation which is a convex optimization problem. We further develop a closed- form solution for the proposed sum throughput maximization. For the second scenario, where PB and the sensor nodes belong to the different service operators, we formulate the sum throughput maximization as Stackelberg-game-based and Social welfare schemes, in which we are then able to derive their equilibriums in closed-form solutions. Finally, numerical results are provided to validate the performance of our proposed schemes.