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All Journal Vokasi UNESA Bulletin of Engineering, Technology and Applied Science
obi, Elvis
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Computer Science & IT Engineering Mechanical Engineering Transportation

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A review on Energy Consumption Model on Hierarchical clustering techniques for IoT- based multilevel heterogeneous WSNs using Energy Aware Node Selection. Iyobhebhe, Matthew; Tekanyi, Abdooulie Momodou. S.; Abubilal, K. A; Usman, Aliyu. D; Isiaku, Yau; Agbon, E. E; obi, Elvis; Chollom, Botson Ishaya; Ezugwu, Chukwudi; Eleshin, Ridwan. O.; Abdulkareem, H. A.; Ashafa, Fatima; Abubakar, Saba; Umar, Abubakar; Ajayi Ore-Ofe; Thomas Muge, Paul
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 2 No. 2 (2025)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v2i2.34882

Abstract

This review article scrutinizes the energy consumption model related to hierarchical clustering methods in IoT-based multi-tier heterogeneous networks (WSNs). Since energy efficiency is vital to prolong the operational activities of sensor nodes, this review article concentrated on energy-aware node selection as a significant technique for improving energy consumption. The review article deliberates on the challenges posed by dynamic wireless sensor network conditions, node heterogeneity like energy-based, and scalability challenges that affect energy management. This review article scrutinizes the energy consumption model related to hierarchical clustering methods in IoT-based multi-tier heterogeneous networks (WSNs). Since energy efficiency is vital to prolong the operational activities of sensor nodes, this review article concentrated on energy-aware node selection as a significant technique for improving energy consumption. We scrutinize different factors affecting efficient node selection, comprising residual energy, transmission distance, and sensor node reliability while juxtaposing these techniques with traditional node selection schemes. Furthermore, the importance of developed modeling techniques was highlighted. Finally, future research directions were outlined, by accentuating the incorporation of energy harvesting and collective models to improve the stability and operation of Wireless Sensor Networks. This holistic overview aims to offer appreciated insights for authors and practitioners in WSNs.
Review on Energy-Efficient Model Hybrid Clustering Technique in WSNs Iyobhebhe, Matthew; Tekanyi, Abdoulie Momodou . S; Abubilal, K. A; Isiaku, Yau; Agbon, E. E; Obi, Elvis; Umar, Abubakar; Ore-ofe, Ajayi; Kwembe, Benjamin Amough; Botson, Botson Ishaya; Eleshin, Ridwan. O; Ashafa, Fatima; Muge, Paul Thomas
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026): (In Progress)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v3i1.42564

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.
Co-Authors Abdulkareem, H. A. Abubakar, Saba Abubilal, K. A Agbon, E. E Ajayi Ore-Ofe Ashafa, Fatima Botson, Botson Ishaya Chollom, Botson Ishaya Eleshin, Ridwan. O Eleshin, Ridwan. O. Ezugwu, Chukwudi Isiaku, Yau Iyobhebhe, Matthew Kwembe, Benjamin Amough Muge, Paul Thomas Ore-Ofe, Ajayi Tekanyi, Abdooulie Momodou. S. Tekanyi, Abdoulie Momodou . S Thomas Muge, Paul Umar, Abubakar Usman, Aliyu. D