A Wi-Fi Harvesting Enabled Energy Optimization Scheme for Smart Clothing

The outbreak of the COVID-19 and the rapid aging population have made isolated medical treatment and home based care become the new norm. As a distributed wireless body sensor network (WBSN), smart clothing is of great importance for the monitoring of infectious diseases and chronic diseases. Yet, limited energy supply and real-time data transmission are challenging for regular use. In this paper, we propose an energy harvesting powered smart clothing architecture, which is optimized by reinforcement learning, PSO and static transferring algorithm to extend battery life while balancing the time delay of data transmission. To evaluate the optimization performance, the reinforcement learning, the static transferring algorithm and the particle swarm optimization(PSO) with two kinds of weight are conducted. The simulation results show that reinforcement learning has the optimal performance in terms of total cost, energy consumption and battery loss without considering the time delay.