Experiences with Implementing a Distributed and Self-Organizing Scheduling Algorithm for Energy-Efficient Data Gathering on a Real-Life Sensor Network Platform

Y. Zhang, Supriyo Chatterjea, Paul J.M. Havinga

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    Abstract

    We report our experiences with implementing a distributed and self-organizing scheduling algorithm designed for energy-efficient data gathering on a 25-node multihop wireless sensor network (WSN). The algorithm takes advantage of spatial correlations that exist in readings of adjacent sensor nodes and utilizes cross-layer information from the underlying MAC layer to minimize message transmissions. We describe how we modify our experiments in order to meet the assumptions made in the earlier theoretical analysis of the algorithm. The implementation results which are virtually identical to the preliminary simulation results, show that the algorithm achieves up to 80% energy savings when compared to conventional raw data collection.
    Original languageUndefined
    Title of host publicationFirst IEEE International Workshop on From Theory to Practice in Wireless Sensor Networks
    Place of PublicationHelsinki, Finland
    PublisherIEEE Computer Society
    Pages1-5
    Number of pages5
    ISBN (Print)1-4244-0992-6
    DOIs
    Publication statusPublished - 18 Jun 2007
    EventIEEE 8th International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2007 - Espoo, Finland
    Duration: 18 Jun 200721 Jun 2007
    Conference number: 8

    Publication series

    Name
    NumberP2773

    Conference

    ConferenceIEEE 8th International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2007
    Abbreviated titleWoWMoM 2007
    CountryFinland
    CityEspoo
    Period18/06/0721/06/07

    Keywords

    • EWI-10347
    • METIS-242178
    • IR-59880
    • CAES-PS: Pervasive Systems

    Cite this

    Zhang, Y., Chatterjea, S., & Havinga, P. J. M. (2007). Experiences with Implementing a Distributed and Self-Organizing Scheduling Algorithm for Energy-Efficient Data Gathering on a Real-Life Sensor Network Platform. In First IEEE International Workshop on From Theory to Practice in Wireless Sensor Networks (pp. 1-5). Helsinki, Finland: IEEE Computer Society. https://doi.org/10.1109/WOWMOM.2007.4351797