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HC-WSN: a Hibernated Clustering based framework for improving energy efficiency of wireless sensor networks

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Abstract

Whether it is Internet of Things for smart homes & industrial units or surveillance of inaccessible terrain, Wireless Sensor Networks (WSNs) are penetrating at a very fast pace in variety of applications. This increase in span of WSN implementation has accelerated research in the field. Energy efficiency, life time improvement, reducing production costs, data security and node mobility are some of the key areas of interest. This paper evaluates clustering-based methodologies already proposed for improving energy efficiency of sensor networks. The gaps in the methodologies have been identified and have been addressed through the new methodology Hibernated Clustering Wireless Sensor Networks (HC-WSN) proposed in this research work. The proposed methodology improves period of operation of individual sensor node followed by improvement in overall network lifetime. The simulation results show that our proposed scheme surpasses the existing schemes in terms of lifespan of individual nodes, average energy and throughput. Moreover, the proposed methodology prolongs the lifespan of WSNs and as well as of individual nodes.

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Authors and Affiliations

  1. Department of Electronics Engineering, J.C. Bose University of Science and Technology, YMCA, Faridabad, India

    Sonam Khera & Neelam Turk

  2. Department of Computer Science, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India

    Navdeep Kaur

Authors
  1. Sonam Khera
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  2. Neelam Turk
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  3. Navdeep Kaur
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Correspondence to Sonam Khera or Navdeep Kaur.

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Khera, S., Turk, N. & Kaur, N. HC-WSN: a Hibernated Clustering based framework for improving energy efficiency of wireless sensor networks. Multimed Tools Appl 82, 3879–3894 (2023). https://doi.org/10.1007/s11042-022-13446-2

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