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    A location aware fast PMIPv6 for low latency wireless sensor networks

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    Authors
    Kang, Byungseok
    Affiliation
    University of Derby
    Issue Date
    2019-06-28
    
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    Abstract
    Recently, mobile sensor networks (MSN) have been actively studied due to the emergence of mobile sensors such as Robomote and robotic sensor agents (RSAs). The research on existing mobile sensor networks mainly focuses on solving the coverage hole, which is a problem that occurs in the existing stationary sensor network (SSN). These studies have disadvantages in that they cannot make the most use of the mobile ability given to the moving sensors. In order to solve this problem, there is a proposal for sensing a wider area than a fixed sensor network by giving the moving sensor continuous mobility. However, the research is still in the early stage, and communication path to the sink node and data transmission problems. In this paper, we propose a location-aware fast PMIPv6 (LA-FPMIPv6) protocol that enables efficient routing and data transmission in a mobile sensor network environment composed of mobile sensors with continuous mobility. In the proposed protocol, the fixed sensor is arranged with the moving sensor so that the fixed sensor transmits the sensing data to the sink node instead of the moving sensor. For performance evaluation, the LA-FPMIPv6 is compared with existing methods through mathematical analysis and computer simulation. The results of the performance evaluation show that the LA-FPMIPv6 effectively reduces the handover latency, signaling cost, and buffering cost compared with the conventional methods.
    Citation
    Kang, B., Park, C. and Choo, H., (2019). A location aware fast PMIPv6 for low latency wireless sensor networks. IEEE Sensors Journal, 19(20), pp, 9456-9467. DOI: 10.1109/JSEN.2019.2925637
    Publisher
    IEEE
    Journal
    IEEE Sensors
    URI
    http://hdl.handle.net/10545/624252
    DOI
    10.1109/JSEN.2019.2925637
    Additional Links
    https://ieeexplore.ieee.org/document/8750826
    Type
    Article
    Language
    en
    ISSN
    15581748
    ae974a485f413a2113503eed53cd6c53
    10.1109/JSEN.2019.2925637
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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