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    A distributed delay-efficient data aggregation scheduling for duty-cycled WSNs

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    Authors
    Kang, Byungseok
    Nguyen, Phan
    Zalyubouskiy, Vyacheslav
    Choo, Hyunseung
    Affiliation
    Sungkyunkwan University
    Issue Date
    2017-04-07
    
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    Abstract
    With the growing interest in wireless sensor networks (WSNs), minimizing network delay and maximizing sensor (node) lifetime are important challenges. Since the sensor battery is one of the most precious resources in a WSN, efficient utilization of the energy to prolong the network lifetime has been the focus of much of the research on WSNs. For that reason, many previous research efforts have tried to achieve tradeoffs in terms of network delay and energy cost for such data aggregation tasks. Recently, duty-cycling technique, i.e., periodically switching ON and OFF communication and sensing capabilities, has been considered to significantly reduce the active time of sensor nodes and thus extend network lifetime. However, this technique causes challenges for data aggregation. In this paper, we present a distributed approach, named distributed delay efficient data aggregation scheduling (DEDAS-D) to solve the aggregation-scheduling problem in duty-cycled WSNs. The analysis indicates that our solution is a better approach to solve this problem. We conduct extensive simulations to corroborate our analysis and show that DEDAS-D outperforms other distributed schemes and achieves an asymptotic performance compared with centralized scheme in terms of data aggregation delay.
    Citation
    Kang, B., Nguyen, P.K.H., Zalyubovskiy, V. and Choo, H., (2017). 'A distributed delay-efficient data aggregation scheduling for duty-cycled WSNs'. IEEE Sensors Journal, 17(11), pp.3422-3437. DOI:10.1109/JSEN.2017.2692246.
    Publisher
    IEEE
    Journal
    IEEE Sensors Journal
    URI
    http://hdl.handle.net/10545/623766
    DOI
    10.1109/JSEN.2017.2692246
    Additional Links
    https://ieeexplore.ieee.org/abstract/document/7894191
    Type
    Article
    Language
    en
    ISSN
    1530437X
    ae974a485f413a2113503eed53cd6c53
    10.1109/JSEN.2017.2692246
    Scopus Count
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    Department of Electronics, Computing & Maths

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