Transmission Power Scheduling for Energy Harvesting Sensor in Remote State Estimation
Optimization and Control
2014-02-25 v1 Systems and Control
Abstract
We study remote estimation in a wireless sensor network. Instead of using a conventional battery-powered sensor, a sensor equipped with an energy harvester which can obtain energy from the external environment is utilized. We formulate this problem into an infinite time-horizon Markov decision process and provide the optimal sensor transmission power control strategy. In addition, a sub-optimal strategy which is easier to implement and requires less computation is presented. A numerical example is provided to illustrate the implementation of the sub-optimal policy and evaluation of its estimation performance.
Cite
@article{arxiv.1402.5784,
title = {Transmission Power Scheduling for Energy Harvesting Sensor in Remote State Estimation},
author = {Yuzhe Li and Daniel E. Quevedo and Vincent Lau and Subhrakanti Dey and Ling Shi},
journal= {arXiv preprint arXiv:1402.5784},
year = {2014}
}
Comments
Extended version of article to be published in the Proceedings of the 19th IFAC World Congress, 2014