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

    Keywords

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

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  • 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). IEEE. https://doi.org/10.1109/CSNDSP.2014.6923810