Improving temporal coverage of an energy-efficient data extraction algorithm for environmental monitoring using wireless sensor networks

Supriyo Chatterjea, Paul Havinga

    Research output: Contribution to journalArticleAcademicpeer-review

    7 Citations (Scopus)
    56 Downloads (Pure)

    Abstract

    Collecting raw data from a wireless sensor network for environmental monitoring applications can be a difficult task due to the high energy consumption involved. This is especially difficult when the application requires specialized sensors that have very high energy consumption, e.g. hydrological sensors for monitoring marine environments. This paper introduces a technique for reducing energy consumption by minimizing sensor sampling operations. In addition, we illustrate how a randomized algorithm can be used to improve temporal coverage such that the time between the occurrence of an event and its detection can be minimized. We evaluate our approach using real data collected from a sensor network deployment on the Great Barrier Reef.
    Original languageEnglish
    Pages (from-to)4941-4954
    Number of pages14
    JournalSensors (Switzerland)
    Volume9
    Issue number6
    DOIs
    Publication statusPublished - 23 Jun 2009

    Keywords

    • IR-68662
    • METIS-264147
    • environmental monitoring
    • Wireless Sensor Networks
    • EWI-16502
    • Adaptive sampling

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