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EHCR-FCM: Energy Efficient Hierarchical Clustering and Routing using Fuzzy C-Means for Wireless Sensor Networks

Author

Listed:
  • Akhilesh Panchal

    (IIIT-Allahabad)

  • Rajat Kumar Singh

    (IIIT-Allahabad)

Abstract

Wireless Sensor Network (WSN) is a part of Internet of Things (IoT), and has been used for sensing and collecting the important information from the surrounding environment. Energy consumption in this process is the most important issue, which primarily depends on the clustering technique and packet routing strategy. In this paper, we propose an Energy efficient Hierarchical Clustering and Routing using Fuzzy C-Means (EHCR-FCM) which works on three-layer structure, and depends upon the centroid of the clusters and grids, relative Euclidean distances and residual energy of the nodes. This technique is useful for the optimal usage of energy by employing grid and cluster formation in a dynamic manner and energy-efficient routing. The fitness value of the nodes have been used in this proposed work to decide that whether it may work as the Grid Head (GH) or Cluster Head (CH). The packet routing strategy of all the GHs depend upon the relative Euclidean distances among them, and also on their residual energy. In addition to this, we have also performed the energy consumption analysis, and found that our proposed approach is more energy efficient, better in terms of the number of cluster formation, network lifetime, and it also provides better coverage.

Suggested Citation

  • Akhilesh Panchal & Rajat Kumar Singh, 2021. "EHCR-FCM: Energy Efficient Hierarchical Clustering and Routing using Fuzzy C-Means for Wireless Sensor Networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 76(2), pages 251-263, February.
    • Handle: RePEc:spr:telsys:v:76:y:2021:i:2:d:10.1007_s11235-020-00712-7
    DOI: 10.1007/s11235-020-00712-7
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    Cited by:

    1. Akhilesh Panchal & Rajat Kumar Singh, 2021. "EOCGS: energy efficient optimum number of cluster head and grid head selection in wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(1), pages 1-13, September.
    2. Chandra Naik & Pushparaj D. Shetty, 2022. "FLAG: fuzzy logic augmented game theoretic hybrid hierarchical clustering algorithm for wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(4), pages 559-571, April.
    3. Han-Dong Jia & Shu-Chuan Chu & Pei Hu & LingPing Kong & XiaoPeng Wang & Václav Snášel & Tong-Bang Jiang & Jeng-Shyang Pan, 2022. "Hybrid algorithm optimization for coverage problem in wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(1), pages 105-121, May.

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