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    Power allocation for distortion minimization in distributed estimation with security constraints


    Guo, Xiaoxi and Leong, Alex S. and Dey, Subhrakanti (2014) Power allocation for distortion minimization in distributed estimation with security constraints. In: 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, pp. 299-303. ISBN 9781479949038

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    Abstract

    In this paper we explore the distortion performance of distributed estimation schemes in wireless sensor networks (WSNs) in the presence of an eavesdropper. The sensors use an uncoded amplify and forward scheme to transmit their observations to the fusion center (FC), which at the same time can be overheard by the eavesdropper. Both the FC and the eavesdropper reconstruct a minimum mean squared error (MMSE) estimate of the physical quantity observed. In this paper, we address the problem of transmit power allocation for system performance optimization subject to a total average power constraint on the sensors and a security constraint on the eavesdropper. In the case of full channel state information (CSI) the proposed scheme allows the sensors to adapt their transmission strategy based on the instantaneous channel gains of both the FC and the eavesdropper. In the partial CSI case, transmit power is allocated only according to the FC instantaneous channel gains and statistical channel gains of the eavesdropper. Numerical results illustrate the performance of the power allocation algorithms.

    Item Type: Book Section
    Additional Information: Cite as: X. Guo, A. S. Leong and S. Dey, "Power allocation for distortion minimization in distributed estimation with security constraints," 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014, pp. 299-303, doi: 10.1109/SPAWC.2014.6941664.
    Keywords: Power allocatio0; distortion minimization; distributed estimation; security constraints;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14505
    Identification Number: https://doi.org/10.1109/SPAWC.2014.6941664
    Depositing User: Subhrakanti Dey
    Date Deposited: 03 Jun 2021 15:32
    Publisher: IEEE
    Refereed: Yes
    URI:

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