Li, Yuzhe and Zhang, Fan and Quevedo, Daniel E. and Lau, Vincent and Dey, Subhrakanti and Shi, Ling (2017) Power Control of an Energy Harvesting Sensor for Remote State Estimation. IEEE Transactions on Automatic Control, 62 (1). pp. 277-290. ISSN 0018-9286
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Abstract
We investigate sensor transmission power control for remote state estimation. Instead of using a conventional sensor, a sensor equipped with an energy harvester which can obtain energy from the external environment is utilized. We formulate power control of the energy harvesting sensor into an infinite time-horizon Markov decision process (MDP). To deal with the computation complexity associated with this multi-dimensional MDP, a continuous-time approach and perturbation analysis are used and a closed-form approximate value function is derived. Based on the approximation, we obtain a closed-form optimal power control solution which has a threshold-based structure. A numerical example is provided to evaluate the estimation performance of the optimal solution compared with other power scheduling schemes.
Item Type: | Article |
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Keywords: | Energy harvesting; Markov decision process (MDP); power control; remote state estimation; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 11472 |
Identification Number: | https://doi.org/10.1109/TAC.2016.2553128 |
Depositing User: | Subhrakanti Dey |
Date Deposited: | 24 Oct 2019 15:08 |
Journal or Publication Title: | IEEE Transactions on Automatic Control |
Publisher: | IEEE |
Refereed: | Yes |
URI: | |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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