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All Journal Journal of Multidisciplinary Science: MIKAILALSYS Vokasi UNESA Bulletin of Engineering, Technology and Applied Science
Agbon, E. E
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Engineering Environmental Science Mechanical Engineering Physics Social Sciences Transportation Other

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An Improved Power Control Scheme for Device-to-Device Communication Using Hierarchical Cluster Algorithm Uboyi, E. S.; Tekanyi, A. M. S.; Musa, M. J.; Agbon, E. E; Terso, Sena T.
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (2025): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v3i2.5296

Abstract

Enabling Device-to-Device (D2D) communication in next-generation wireless networks faces significant challenges, particularly path-loss attenuation and interference, which degrade network performance. Existing studies suggest that interference management techniques such as resource allocation, spectrum sharing, and power control can improve network efficiency. However, conventional power control schemes require further enhancements to optimize energy efficiency, throughput, and outage probability. This study proposes a modified Power Control Scheme for D2D communication (mPCS-D2D) that leverages a Hierarchical Cluster Algorithm (HCA) to minimize interference by organizing D2D User Equipments (DUEs) into hierarchical clusters. The scheme is evaluated in both general and millimeter-wave (mmWave) mode communications. Performance assessment through simulations demonstrates that mPCS-D2D achieves an average energy efficiency of 29.722 kbps/J with a 46.03% imporvement, a throughput of 135.994 kbps having a 4.77% improvement, and improving outage probability by 41.06%, surpassing the existing PCS-D2D schemes. These results indicate that mPCS-D2D is a viable solution for power control in D2D communications over uplink channels in 5G mmWave networks. improving network efficiency while maintaining fairness. The findings suggest potential applications in optimizing power allocation for future D2D communication scenarios.
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.
Co-Authors Abdulkareem, H. A. Abubakar, Saba Abubilal, K. A Ajayi Ore-Ofe Ashafa, Fatima Chollom, Botson Ishaya Eleshin, Ridwan. O. Ezugwu, Chukwudi Isiaku, Yau Iyobhebhe, Matthew Musa, M. J. obi, Elvis Tekanyi, A. M. S. Tekanyi, Abdooulie Momodou. S. Terso, Sena T. Thomas Muge, Paul Uboyi, E. S. Umar, Abubakar Usman, Aliyu. D