Energy-Efficient Resource Allocation in Wireless Energy Harvesting Sensor Networks

In this project, we mainly concentrate on harvesting the energy in WSN. The Energy Harvesting (EH) sensors have been proposed to overcome the mentioned problem in recent years. These sensors can harvest their required energy from environment in different methods, resulting in longer life time. 

We consider a TDMA based Wireless Energy Harvesting Sensor Network (WEHSN) in which the time slot consists of two time intervals, the first one is utilized to absorb energy whereas the second one is used to transmit the sensors’ data.

We investigate the energy efficient resource allocation in WEHSN with constraints on time scheduling parameters and transmission power consumption, where an EH sensor is allowed to transmit its data if the amount of its harvested energy is more than the consumption power. 

We derive the closed form expression for the optimization problem, corresponding to the energy efficiency and convert it to a parametric form, using Dinkelbach method. Then, we solve the new problem using Karush-Kuhn-Tucker (KKT) conditions. The numerical results shows the effectiveness of the proposed method. 

Keywords: Energy Harvesting, Resource Allocation, Energy Efficiency, Wireless Sensor Networks, WEHSN.