Adaptive sink mobility management scheme for wireless sensor networks

Kwang Il Hwang, Doo Seop Eom

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    In wireless sensor networks, it is important to efficiently disseminate information from each source to a sink node. In particular, in mobile sink applications, due to the sink mobility, a stationary dissemination path may no longer be effective. The path will have to be continuously reconfigured according to the current location of the sink. In this paper, an Adaptive Reversal Tree (ART) protocol, based on the Adaptive Reversal algorithm and dynamic Root change mechanism, is proposed. Data dissemination from each source to a mobile sink can be easily achieved along the ART without additional control overhead, because the ART proactively performs adaptive sink mobility management. In addition, the ART can maintain a robust tree structure by quickly recovering the partitioned tree with minimum packet transmission. Finally, the simulation results demonstrate that the ART is a considerably energy-efficient and robust protocol.

    Original languageEnglish
    Title of host publicationUbiquitous Intelligence and Computing - Third International Conference, UIC 2006, Proceedings
    PublisherSpringer Verlag
    Pages478-487
    Number of pages10
    ISBN (Print)3540380914, 9783540380917
    DOIs
    Publication statusPublished - 2006
    Event3rd International Conference on Ubiquitous Intelligence and Computing, UIC 2006 - Wuhan, China
    Duration: 2006 Sept 32006 Sept 6

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4159 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other3rd International Conference on Ubiquitous Intelligence and Computing, UIC 2006
    Country/TerritoryChina
    CityWuhan
    Period06/9/306/9/6

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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