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    Transmission Power Scheduling for Energy Harvesting Sensor in Remote State Estimation


    Li, Yuzhe and Quevedo, Daniel E. and Lau, Vincent and Dey, Subhrakanti and Shi, Ling (2014) Transmission Power Scheduling for Energy Harvesting Sensor in Remote State Estimation. IFAC Proceedings Volumes, 47 (3). pp. 122-127. ISSN 1474-6670

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    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.

    Item Type: Article
    Additional Information: Cite as: Yuzhe Li, Daniel E. Quevedo, Vincent Lau, Subhrakanti Dey, Ling Shi, Transmission Power Scheduling for Energy Harvesting Sensor in Remote State Estimation, IFAC Proceedings Volumes, Volume 47, Issue 3, 2014, Pages 122-127, ISSN 1474-6670, ISBN 9783902823625, https://doi.org/10.3182/20140824-6-ZA-1003.02198
    Keywords: Transmission; Power Scheduling; Energy Harvesting Sensor; Remote State Estimation;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14508
    Identification Number: https://doi.org/10.3182/20140824-6-ZA-1003.02198
    Depositing User: Subhrakanti Dey
    Date Deposited: 03 Jun 2021 15:58
    Journal or Publication Title: IFAC Proceedings Volumes
    Publisher: Elsevier
    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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