Transmission Policies for Energy Harvesting Sensors Based on Markov Chain Energy Supply

Zhu, Wenxiang and Xu, Pingping and Zheng, Maozong and Wu, Guilu and Wang, Honglei (2015) Transmission Policies for Energy Harvesting Sensors Based on Markov Chain Energy Supply. EAI Endorsed Transactions on Creative Technologies, 3 (8). e4. ISSN 2032-944X

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Due to the small energy harvesting rates and stochastic energy harvesting processes, energy management of energy harvesting senor is still crucial for body network. Transmission polices for energy harvesting sensors with Markov chain energy supply over time varying channels is formulated as an infinite discounted reward Markov Decision Problem under the assumption of geometric distribution of sensors’ lifetime. In this paper, we firstly propose a low-storage transmission policy based on probability of successful transmission for body network. Then we narrow the feasible region of parameters in our policies from the real domain to a discrete set with limited number, which makes the method of combing optimal equations and enumeration algorithm to obtain optimal parameters workable. Finally, numerical results show that our presented transmission policies can achieve a good approximated performance of optimal policies, which can be derived by policy iteration algorithm. Compared with the optimal policies, our presented policies has the advantage of low storage.

Item Type: Article
Uncontrolled Keywords: energy harvesting, wireless sensor networks, energy management, markov decision process
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 07 Apr 2021 07:20
Last Modified: 07 Apr 2021 07:20

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