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    Power allocation for estimation outage minimization with secrecy outage constraints


    Guo, Xiaoxi and Leong, Alex S. and Dey, Subhrakanti (2016) Power allocation for estimation outage minimization with secrecy outage constraints. In: 2016 Australian Communications Theory Workshop (AusCTW). IEEE, pp. 71-76. ISBN 978-1-5090-0133-0

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    Abstract

    In this paper, we investigate the distortion outage minimization problem for a wireless sensor network (WSN) in the presence of an eavesdropper. The observation signals transmitted from the sensors to the fusion center (FC) are over-heard by the eavesdropper. Both the FC and the eavesdropper reconstruct minimum mean squared error (MMSE) estimates of the physical quantity observed. We address the problem of transmit power allocation to minimize the distortion outage at the FC, subject to a long-term transmit power constraint among the sensors and a secrecy outage constraint at the eavesdropper. Applying a rigorous probabilistic power allocation technique we derive power policies for the full channel state information (CSI) case. Additional suboptimal power control policies are studied for the partial CSI case in order to reduce the high computational cost as the number of sensors or receive antennas grows. Numerical results show better performance can be achieved by adding multiple receive antennas at the FC.

    Item Type: Book Section
    Additional Information: Cite as: X. Guo, A. S. Leong and S. Dey, "Power allocation for estimation outage minimization with secrecy outage constraints," 2016 Australian Communications Theory Workshop (AusCTW), 2016, pp. 71-76, doi: 10.1109/AusCTW.2016.7433612.
    Keywords: Power allocation; estimation outage minimization; secrecy outage constraints;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 14543
    Identification Number: https://doi.org/10.1109/AusCTW.2016.7433612
    Depositing User: Subhrakanti Dey
    Date Deposited: 15 Jun 2021 14:52
    Publisher: IEEE
    Refereed: Yes
    URI:

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