A Novel Sensor Selection Scheme for Energy Efficient Environment Monitoring of Wireless Sensor Networks

Moh'D Alwadi, Girija CHETTY

    Research output: Contribution to journalArticle

    Abstract

    In this paper, we propose a novel energy efficient environment monitoring scheme for wireless sensor networks, based on data mining formulation. The experimental validation of the proposed adaptive routing scheme for sensors for achieving energy efficiency. Using publicly available Intel Berkeley lab WSN dataset shows that it is possible to achieve energy efficient environment monitoring for wireless sensor networks, with a trade-off between accuracy and lifetime extension factor of sensors, using the proposed approach.
    Original languageEnglish
    Pages (from-to)335-338
    Number of pages4
    JournalInternational Journal on Data Mining and Intelligent Information Technology Applications
    Volume3
    Issue number4
    DOIs
    Publication statusPublished - 2015

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    Wireless sensor networks
    Monitoring
    Sensors
    Data mining
    Energy efficiency

    Cite this

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    title = "A Novel Sensor Selection Scheme for Energy Efficient Environment Monitoring of Wireless Sensor Networks",
    abstract = "In this paper, we propose a novel energy efficient environment monitoring scheme for wireless sensor networks, based on data mining formulation. The experimental validation of the proposed adaptive routing scheme for sensors for achieving energy efficiency. Using publicly available Intel Berkeley lab WSN dataset shows that it is possible to achieve energy efficient environment monitoring for wireless sensor networks, with a trade-off between accuracy and lifetime extension factor of sensors, using the proposed approach.",
    keywords = "Wireless Communications",
    author = "Moh'D Alwadi and Girija CHETTY",
    year = "2015",
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    language = "English",
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    journal = "International Journal on Data Mining and Intelligent Information Technology Applications",
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    AU - Alwadi, Moh'D

    AU - CHETTY, Girija

    PY - 2015

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    N2 - In this paper, we propose a novel energy efficient environment monitoring scheme for wireless sensor networks, based on data mining formulation. The experimental validation of the proposed adaptive routing scheme for sensors for achieving energy efficiency. Using publicly available Intel Berkeley lab WSN dataset shows that it is possible to achieve energy efficient environment monitoring for wireless sensor networks, with a trade-off between accuracy and lifetime extension factor of sensors, using the proposed approach.

    AB - In this paper, we propose a novel energy efficient environment monitoring scheme for wireless sensor networks, based on data mining formulation. The experimental validation of the proposed adaptive routing scheme for sensors for achieving energy efficiency. Using publicly available Intel Berkeley lab WSN dataset shows that it is possible to achieve energy efficient environment monitoring for wireless sensor networks, with a trade-off between accuracy and lifetime extension factor of sensors, using the proposed approach.

    KW - Wireless Communications

    U2 - 10.18178/jacn.2015.3.4.193

    DO - 10.18178/jacn.2015.3.4.193

    M3 - Article

    VL - 3

    SP - 335

    EP - 338

    JO - International Journal on Data Mining and Intelligent Information Technology Applications

    JF - International Journal on Data Mining and Intelligent Information Technology Applications

    SN - 2234-3660

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