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    On Maximizing Min Flow Rates in Rechargeable Wireless Sensor Networks

    Access Status
    Fulltext not available
    Authors
    He, T.
    Chin, K.
    Soh, Sie Teng
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    He, T. and Chin, K. and Soh, S.T. 2017. On Maximizing Min Flow Rates in Rechargeable Wireless Sensor Networks. IEEE Transactions on Industrial Informatics.
    Source Title
    IEEE Transactions on Industrial Informatics
    DOI
    10.1109/TII.2017.2771288
    ISSN
    1551-3203
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/58888
    Collection
    • Curtin Research Publications
    Abstract

    IEEE In a rechargeable Wireless Sensor Network (rWSN), the amount of data forwarded by source nodes to one or more sinks is bounded by the energy harvesting rate of sensor nodes. To improve sensing quality, we consider a novel approach whereby we place a finite number of Auxiliary Chargers (ACs) with Wireless Power Transfer (WPT) and energy harvesting ability to boost the energy harvesting rate of some sensor nodes. We formulate a Mixed Integer Linear Program (MILP) to determine the subset of nodes that if upgraded will maximize the minimum source rate. We also propose two heuristic algorithms to place ACs in large scale rWSNs: (i) GND, which checks every non-upgraded sensor node and parks an AC next to the one yielding the highest increase in max-min rate, and (ii) OUED, which uses a relaxed version of the MILP to first share one unit of energy among sensor nodes. It then upgrades the sensor node with the highest one-unit share. Our results show that the max-min rate obtained by GND and OUED is respectively within 99.60% and 97.82% of the max-min rate derived by MILP in small networks with at most 90 nodes. In large networks with 200 nodes, the maximum gap between OUED and GND is only 0.191 kb/s. Lastly, OUED runs at least five times faster than GND.

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