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Fuzzy-Logic-Inspired Zone-Based Clustering Algorithm for Wireless Sensor Networks

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Abstract

With the increasing use of wireless terminals, wireless sensor networks (WSNs) have received significant attention owing to their wide usage in monitoring harsh environments, crucial surveillance and security applications, and other real-life applications. Sensor nodes in operation are equipped with batteries that are not rechargeable in most of the cases. Attaining the lifetime maximization of these nodes has drawn the attention of researchers in recent years. The clustering mechanism is highly successful in conserving energy resources for network activities and has become a promising field for researches to overcome the issues of battery-constrained WSNs. This research work implements zone-based clustering with the fuzzy-logic approach for dynamic cluster head (CH) selection. It aims to resolve the problem of unbalanced energy dissipation among the CHs in the network. The experimental results show that the proposed protocol outperforms the existing protocols in terms of maximizing the network lifetime.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India

    Thompson Stephan, Kushal Sharma & Achyut Shankar

  2. Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, 641114, India

    S. Punitha

  3. School of Computer Science and Engineering, The University of New South Wales, Kensington, Australia

    Vijayakumar Varadarajan

  4. Shandong University of Finance and Economics, Jinan, China

    Peide Liu

Authors
  1. Thompson Stephan
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  2. Kushal Sharma
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  3. Achyut Shankar
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  4. S. Punitha
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  5. Vijayakumar Varadarajan
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  6. Peide Liu
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Correspondence to Achyut Shankar.

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Stephan, T., Sharma, K., Shankar, A. et al. Fuzzy-Logic-Inspired Zone-Based Clustering Algorithm for Wireless Sensor Networks. Int. J. Fuzzy Syst. 23, 506–517 (2021). https://doi.org/10.1007/s40815-020-00929-3

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  • DOI: https://doi.org/10.1007/s40815-020-00929-3

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