| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 712141 | IFAC Proceedings Volumes | 2014 | 6 Pages |
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.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Yuzhe Li, Daniel E. Quevedo, Vincent Lau, Subhrakanti Dey, Ling Shi,