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EOCGS: energy efficient optimum number of cluster head and grid head selection in wireless sensor networks

Author

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  • Akhilesh Panchal

    (IIIT-Allahabad)

  • Rajat Kumar Singh

    (IIIT-Allahabad)

Abstract

Wireless Sensor Network (WSN) is widely used for collecting the information from the target region by deploying the sensor nodes in that region. In WSNs, energy saving is the prime task which depends upon the number of Cluster Heads (CH) and on their selection techniques. Thus, in order to optimize the energy consumption of the clusters, we are proposing an Energy-efficient technique for selection of Optimum Number of Cluster Head and Grid Head (EOCGS) which extends the network lifetime. Here, firstly we give the expression of optimum number of clusters, then propose a new technique for selecting the optimum number of CHs in an energy efficient manner. For saving the energy of the CHs, the concept of Grid Head (GH) is being added in an efficient way, which works in dynamic mode. When the number of CHs are greater than threshold limit, then few of the CHs work as GHs and they are selected by using the proposed fitness function that depends on residual energy, Euclidean distances, and location of the grid-centroid of CHs. We have depicted that the proposed work saves the network energy efficiently, extends the network lifetime and coverage as compared to similar clustering algorithms e.g., LEACH, TL-LEACH, R-LEACH, RCH-LEACH, UCRA-GSO & CCA-GWO. It also stabilizes the cluster formation in the network.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:telsys:v:78:y:2021:i:1:d:10.1007_s11235-021-00782-1
    DOI: 10.1007/s11235-021-00782-1
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    References listed on IDEAS

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    1. 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.
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