Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Vokasi UNESA Bulletin of Engineering, Technology and Applied Science
Athanisius Terlumun Utev
Unknown Affiliation
Computer Science & IT Engineering Mechanical Engineering Transportation

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Consensus Optimization for Energy Efficiency in Heterogeneous Wireless Sensor Networks: Models, Techniques, and Future Directions Matthew Iyobhebhe; Abdoulie Momodou. S Tekanyi; Elvis Obi; Shamsudeen. A. Mikail; Njoku Franklin. C; Botson Ishaya Chollom; Paul Thomas Muge; Athanisius Terlumun Utev; Ridwan. O Eleshin; Fatima Ashafa; Asebakeoghene J. Khama
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 3 (2026)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v3i3.50510

Abstract

Energy efficiency continues to be a major concern in heterogeneous wireless sensor networks (HWSNs) due to unequal resource allocation and varying network dynamics. Consensus optimization offers an effective paradigm for enabling distributed management and achieving balanced energy utilization among heterogeneous sensor nodes. This review presents an in-depth examination of consensus-based models and techniques aimed at improving energy efficiency in HWSNs. It categorizes existing methodologies based on their operational mechanisms and analyzes how node heterogeneity impacts consensus formulation and overall network performance. In addition, it highlights key research limitations, including the lack of standardized classifications, inconsistent energy modeling, insufficient benchmarking, and limited analysis of the tradeoff between convergence and energy overhead. By synthesizing advances in adaptive weighting, clustering mechanisms, and hierarchical consensus architectures, the study proposes future research pathways for scalable, robust, and energy-efficient consensus systems. Ultimately, this review provides a foundation for developing sustainable optimization frameworks for next-generation sensor networks.
Co-Authors Abdoulie Momodou. S Tekanyi Asebakeoghene J. Khama Botson Ishaya Chollom Elvis Obi Fatima Ashafa Matthew Iyobhebhe Njoku Franklin. C Paul Thomas Muge Ridwan. O Eleshin Shamsudeen. A. Mikail