Activity-aware clustering algorithm for wireless sensor networks

Morteza Mohammadi Zanjireh, Hadi Larijani, Wasiu O. Popoola

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

    Abstract

    In a Wireless Sensor Network (WSN) environment, there are many application cases that make use of unequally importance of the nature of distributed sensors. This paper proposes a clustering algorithm for these kinds of environments: prioritising the prolonging of active sensors by way of monitoring the important regions in a network environment. The results of our extensive study for this type of environment shows a considerable increase in the number of sensed events on average by 104.28%, 73.14%, and 50.97%, compared with those of Low Energy Adaptive Clustering Hierarchy (LEACH), Hybrid Energy-Efficient Distributed (HEED), and Avoid Near Cluster Head (ANCH) algorithms, respectively.
    Original languageEnglish
    Title of host publicationProceedings of the 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 14)
    Place of PublicationManchester, UK
    PublisherIEEE
    Pages122-127
    Number of pages6
    DOIs
    Publication statusPublished - Jul 2014

    Fingerprint

    Clustering algorithms
    Wireless sensor networks
    Sensors
    Monitoring

    Keywords

    • wireless sensor networks (WSN)
    • clustering algorithm
    • network environment

    Cite this

    Zanjireh, M. M., Larijani, H., & Popoola, W. O. (2014). Activity-aware clustering algorithm for wireless sensor networks. In Proceedings of the 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 14) (pp. 122-127). Manchester, UK: IEEE. https://doi.org/10.1109/CSNDSP.2014.6923810
    Zanjireh, Morteza Mohammadi ; Larijani, Hadi ; Popoola, Wasiu O. / Activity-aware clustering algorithm for wireless sensor networks. Proceedings of the 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 14) . Manchester, UK : IEEE, 2014. pp. 122-127
    @inproceedings{b2a75c51327640369abe8f59988d6815,
    title = "Activity-aware clustering algorithm for wireless sensor networks",
    abstract = "In a Wireless Sensor Network (WSN) environment, there are many application cases that make use of unequally importance of the nature of distributed sensors. This paper proposes a clustering algorithm for these kinds of environments: prioritising the prolonging of active sensors by way of monitoring the important regions in a network environment. The results of our extensive study for this type of environment shows a considerable increase in the number of sensed events on average by 104.28{\%}, 73.14{\%}, and 50.97{\%}, compared with those of Low Energy Adaptive Clustering Hierarchy (LEACH), Hybrid Energy-Efficient Distributed (HEED), and Avoid Near Cluster Head (ANCH) algorithms, respectively.",
    keywords = "wireless sensor networks (WSN), clustering algorithm, network environment",
    author = "Zanjireh, {Morteza Mohammadi} and Hadi Larijani and Popoola, {Wasiu O.}",
    year = "2014",
    month = "7",
    doi = "10.1109/CSNDSP.2014.6923810",
    language = "English",
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    booktitle = "Proceedings of the 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 14)",
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    Zanjireh, MM, Larijani, H & Popoola, WO 2014, Activity-aware clustering algorithm for wireless sensor networks. in Proceedings of the 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 14) . IEEE, Manchester, UK, pp. 122-127. https://doi.org/10.1109/CSNDSP.2014.6923810

    Activity-aware clustering algorithm for wireless sensor networks. / Zanjireh, Morteza Mohammadi; Larijani, Hadi; Popoola, Wasiu O.

    Proceedings of the 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 14) . Manchester, UK : IEEE, 2014. p. 122-127.

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

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    AU - Popoola, Wasiu O.

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    N2 - In a Wireless Sensor Network (WSN) environment, there are many application cases that make use of unequally importance of the nature of distributed sensors. This paper proposes a clustering algorithm for these kinds of environments: prioritising the prolonging of active sensors by way of monitoring the important regions in a network environment. The results of our extensive study for this type of environment shows a considerable increase in the number of sensed events on average by 104.28%, 73.14%, and 50.97%, compared with those of Low Energy Adaptive Clustering Hierarchy (LEACH), Hybrid Energy-Efficient Distributed (HEED), and Avoid Near Cluster Head (ANCH) algorithms, respectively.

    AB - In a Wireless Sensor Network (WSN) environment, there are many application cases that make use of unequally importance of the nature of distributed sensors. This paper proposes a clustering algorithm for these kinds of environments: prioritising the prolonging of active sensors by way of monitoring the important regions in a network environment. The results of our extensive study for this type of environment shows a considerable increase in the number of sensed events on average by 104.28%, 73.14%, and 50.97%, compared with those of Low Energy Adaptive Clustering Hierarchy (LEACH), Hybrid Energy-Efficient Distributed (HEED), and Avoid Near Cluster Head (ANCH) algorithms, respectively.

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    Zanjireh MM, Larijani H, Popoola WO. Activity-aware clustering algorithm for wireless sensor networks. In Proceedings of the 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 14) . Manchester, UK: IEEE. 2014. p. 122-127 https://doi.org/10.1109/CSNDSP.2014.6923810