MURAL - Maynooth University Research Archive Library



    Power Allocation for Distributed Detection Systems in Wireless Sensor Networks With Limited Fusion Center Feedback


    Guo, Xiaoxi and He, Yuanyuan and Atapattu, Saman and Dey, Subhrakanti and Evans, Jamie S. (2018) Power Allocation for Distributed Detection Systems in Wireless Sensor Networks With Limited Fusion Center Feedback. IEEE Transactions on Communications, 66 (10). pp. 4753-4766. ISSN 0090-6778

    [img]
    Preview
    Download (1MB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    We consider a distributed detection system for a wireless sensor network over slow-fading channels. Each sensor only has knowledge of quantized channel state information (CSI) which is received from the fusion center via a limited feedback channel. We then consider transmit power allocation at each sensor inorder to maximize a J-divergence based detection metric subject to a total and individual transmit power constraints. Our aim is to jointly design the quantization regions of all sensors CSI and the corresponding power allocations. A locally optimum solution is obtained by applying the generalized Lloyd algorithm (GLA). To overcome the high computational complexity of the GLA, we then propose a low-complexity nearoptimal scheme which performs very close to its GLA based counterpart. This enables us to explicitly formulate the problem and to find the unique solution despite the non-convexity of the optimization problem. An asymptotic analysis is also provided when the number of feedback bits becomes large. Numerical results illustrate that only a small amount of feedback is needed to achieve a detection performance close to the full CSI case.

    Item Type: Article
    Keywords: Power Allocation; Distributed Detection Systems; Wireless Sensor Networks; Limited Fusion Center Feedback;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 12696
    Identification Number: https://doi.org/10.1109/TCOMM.2018.2837101
    Depositing User: Subhrakanti Dey
    Date Deposited: 02 Apr 2020 10:56
    Journal or Publication Title: IEEE Transactions on Communications
    Publisher: IEEE
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year