Analytical Modelling of ANCH Clustering Algorithm for WSNs

Morteza Mohammadi Zanjireh, Hadi Larijani, Wasiu Popoola, Ali Shahrabi

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


    Wireless sensor networks are a popular choice in a vast number of applications, despite their energy constraints, due to their distributed nature, low cost infrastructure deployment and administration. One of the main approaches for addressing the energy consumption and network congestion issues is to organise the sensors in clusters. The number of clusters and also distribution of Cluster Heads are essential for energy efficiency and adaptability of clustering approaches. ANCH is a new energy-efficient clustering algorithm proposed recently for wireless sensor networks to prolong network lifetime by uniformly distributing of Cluster Heads across the network. In this paper, we propose an analytical method to model the energy consumption of the ANCH algorithm. The results of our extensive simulation study show a reasonable accuracy of the proposed analytical model to predict the energy consumption under different operational conditions. The proposed analytical model reveals a number of implications regarding the effects of different parameters on the energy consumption pattern of the ANCH clustering algorithm.
    Original languageEnglish
    Title of host publicationICN 2014, The Thirteenth International Conference on Networks
    PublisherInternational Academy, Research, and Industry Association
    Number of pages6
    ISBN (Electronic)9781612083186
    Publication statusPublished - 23 Feb 2014

    Publication series

    NameICN 2014, The Thirteenth International Conference on Networks
    ISSN (Print)2308-4413


    • wireless sensor networks, Clustering, Energy Efficiency, ANCH, Analytical Model
    • clustering
    • energy efficiency
    • ANCH
    • analytical model


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