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    Accelerated Sampling Optimization for RF Energy Harvesting Wireless Sensor Network

    Access Status
    Fulltext not available
    Authors
    Zhao, C.
    Chen, S.
    Wu, Changzhi
    Chen, F.
    Ji, Y.
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Zhao, C. and Chen, S. and Wu, C. and Chen, F. and Ji, Y. 2018. Accelerated Sampling Optimization for RF Energy Harvesting Wireless Sensor Network. IEEE Access. 6: pp. 52161-52168.
    Source Title
    IEEE Access
    DOI
    10.1109/ACCESS.2018.2869524
    ISSN
    2169-3536
    School
    School of Design and the Built Environment
    URI
    http://hdl.handle.net/20.500.11937/71503
    Collection
    • Curtin Research Publications
    Abstract

    © 2013 IEEE. Network utility maximization has been widely adopted to allocate the resource of networks. However, it suffers from slow convergence under distributed computational environment. This paper proposes a fast rate control algorithm to maximize network utility for energy harvesting in a wireless sensor network. Energy harvesting and channel bandwidth limits are considered together to formulate as a utility maximization problem. Then, an accelerated distributed gradient method is proposed to solve the problem for energy harvesting. Numerical experiments show that the accelerated method achieves faster convergence to the optimal sampling rate under energy and channel constraints than traditional gradient descent methods.

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