Reinforcement Learning-Based Dynamic Power Management for Energy Harvesting Wireless Sensor Network

Authors:
Roy Chaoming Hsu;Cheng-Ting Liu;Wei-Ming Lee
Affiliations:
Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City, Taiwan 60004;Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City, Taiwan 60004;Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City, Taiwan 60004
Venue:
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Year:
2009

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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.