MURAL - Maynooth University Research Archive Library



    Optimal energy allocation for kalman filtering over packet dropping links with imperfect acknowledgments and energy harvesting constraints


    Nourian, Mojtaba and Leong, Alex S. and Dey, Subhrakanti (2014) Optimal energy allocation for kalman filtering over packet dropping links with imperfect acknowledgments and energy harvesting constraints. IEEE Transactions on Automatic Control, 59 (8). pp. 2128-2143. ISSN 0018-9286

    [img]
    Preview
    Download (1MB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    This paper presents a design methodology for optimal transmission energy allocation at a sensor equipped with energy harvesting technology for remote state estimation of linear stochastic dynamical systems. In this framework, the sensor measurements as noisy versions of the system states are sent to the receiver over a packet dropping communication channel. The packet dropout probabilities of the channel depend on both the sensor's transmission energies and time varying wireless fading channel gains. The sensor has access to an energy harvesting source which is an everlasting but unreliable energy source compared to conventional batteries with fixed energy storages. The receiver performs optimal state estimation with random packet dropouts to minimize the estimation error covariances based on received measurements. The receiver also sends packet receipt acknowledgments to the sensor via an erroneous feedback communication channel which is itself packet dropping.

    Item Type: Article
    Additional Information: Cite as:M. Nourian, A. S. Leong and S. Dey, "Optimal Energy Allocation for Kalman Filtering Over Packet Dropping Links With Imperfect Acknowledgments and Energy Harvesting Constraints," in IEEE Transactions on Automatic Control, vol. 59, no. 8, pp. 2128-2143, Aug. 2014, doi: 10.1109/TAC.2014.2319011.
    Keywords: Dynamic programming; energy harvesting; energy/power control; Markov decision processes with imperfect state information; Sensor networks; state estimation with packet dropouts;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14311
    Identification Number: https://doi.org/10.1109/TAC.2014.2319011
    Depositing User: Subhrakanti Dey
    Date Deposited: 08 Apr 2021 15:43
    Journal or Publication Title: IEEE Transactions on Automatic Control
    Publisher: IEEE
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year