Power control of an energy harvesting sensor for remote state estimation
Date
2017
Authors
Li, Y.
Zhang, F.
Quevedo, D.E.
Lau, V.
Dey, S.
Shi, L.
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Advisors
Journal Title
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Volume Title
Type:
Journal article
Citation
IEEE Transactions on Automatic Control, 2017; 62(1):277-290
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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.
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Dissertation Note
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Link to a related website: http://mural.maynoothuniversity.ie/11472/1/DS-Power-2017.pdf, Open Access via Unpaywall
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Copyright 2016 IEEE