Review on Energy-Efficient Model Hybrid Clustering Technique in WSNs

Authors

  • Matthew Iyobhebhe Federal Polytechnic Nasarawa, Nigeria
  • Abdoulie Momodou . S Tekanyi Federal Polytechnic Nasarawa, Nigeria
  • K. A Abubilal Federal Polytechnic Nasarawa. Nigeria
  • Yau Isiaku Federal Polytechnic Nasarawa, Nigeria
  • E. E Agbon Federal Polytechnic Nasarawa, Nigeria
  • Elvis Obi Federal Polytechnic Nasarawa, Nigeria
  • Abubakar Umar Federal Polytechnic Nasarawa, Nigeria
  • Ajayi Ore-ofe Federal Polytechnic Nasarawa, Nigeria
  • Benjamin Amough Kwembe Federal Polytechnic Nasarawa, Nigeria
  • Botson Ishaya Botson Federal Polytechnic Nasarawa, Nigeria
  • Ridwan. O Eleshin Federal Polytechnic Nasarawa, Nigeria
  • Fatima Ashafa Federal Polytechnic Nasarawa, Nigeria
  • Paul Thomas Muge Federal Polytechnic Nasarawa, Nigeria

DOI:

https://doi.org/10.26740/vubeta.v3i1.42564

Keywords:

Energy Efficient Hybrid Clustering Technic Model, Energy Consumption Model, Network Life Time Model, Data Transmission Efficiency, Wireless Sensor Network

Abstract

This review article explores the advancements in energy-efficient hybrid clustering techniques for Wireless Sensor Networks (WSNs), highlighting their significance in optimizing energy consumption and enhancing network longevity. As WSNs become integral to various applications, efficient energy management is crucial for prolonging node lifespan and ensuring reliable data transmission. We analyze existing models, comparing their effectiveness in minimizing energy usage while maximizing data delivery efficiency. The review article formulate model equation for determines Energy-Efficient hybrid clustering techniques, Energy consumption, Network Life time, and Data Transmission Delivery which enhances network stability, also discusses the challenges faced in the implementation of these techniques, including scalability and network dynamics. By synthesizing current research, this review aims to provide insights into emerging trends and future directions in energy-efficient clustering strategies, offering valuable guidance for researchers and practitioners seeking to improve the sustainability and performance of WSNs.

Author Biographies

Matthew Iyobhebhe, Federal Polytechnic Nasarawa, Nigeria

 Federal Polytechnic  Nasarawa, Nasarawa State. Nigeria

Abdoulie Momodou . S Tekanyi, Federal Polytechnic Nasarawa, Nigeria

Federal Polytechnic Nasarawa, Nigeria

K. A Abubilal, Federal Polytechnic Nasarawa. Nigeria

Federal Polytechnic Nasarawa. Nigeria

Yau Isiaku, Federal Polytechnic Nasarawa, Nigeria

Federal Polytechnic Nasarawa, Nigeria

E. E Agbon, Federal Polytechnic Nasarawa, Nigeria

Federal Polytechnic Nasarawa, Nigeria

Elvis Obi, Federal Polytechnic Nasarawa, Nigeria

Federal Polytechnic Nasarawa, Nigeria

Abubakar Umar, Federal Polytechnic Nasarawa, Nigeria

Federal Polytechnic Nasarawa, Nigeria

Ajayi Ore-ofe, Federal Polytechnic Nasarawa, Nigeria

Federal Polytechnic Nasarawa, Nigeria

Benjamin Amough Kwembe, Federal Polytechnic Nasarawa, Nigeria

Federal Polytechnic Nasarawa, Nigeria

Botson Ishaya Botson, Federal Polytechnic Nasarawa, Nigeria

Federal Polytechnic Nasarawa, Nigeria

Ridwan. O Eleshin, Federal Polytechnic Nasarawa, Nigeria

Federal Polytechnic Nasarawa, Nigeria

Fatima Ashafa, Federal Polytechnic Nasarawa, Nigeria

Federal Polytechnic Nasarawa, Nigeria

Paul Thomas Muge, Federal Polytechnic Nasarawa, Nigeria

Federal Polytechnic Nasarawa, Nigeria

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2026-01-26

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[1]
M. Iyobhebhe, “Review on Energy-Efficient Model Hybrid Clustering Technique in WSNs”, Vokasi Unesa Bull. Eng. Technol. Appl. Sci., vol. 3, no. 1, pp. 102–114, Jan. 2026.
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