Reinforcement learning-based dynamic power management for energy harvesting wireless sensor network

Abstract

In this study, a dynamic power management method based on reinforcement learning is proposed to improve the energy utilization for energy harvesting wireless sensor networks. Simulations of the proposed method on wireless sensor nodes powered by solar power are performed. Experimental results demonstrate that the proposed method outperforms the other power management method in achieving longer sustainable operations for energy harvesting wireless sensor network. © 2009 Springer Berlin Heidelberg.