Consensus Optimization for Energy Efficiency in Heterogeneous Wireless Sensor Networks: Models, Techniques, and Future Directions

Matthew Iyobhebhe (Federal Polytechnic Nasarawa. Nigeria)
Abdoulie Momodou. S Tekanyi (Department of Electrical/Electronic Engineering Technology, School of Engineering Technology, Federal Polytechnic Nasarawa Nasarawa State. Nigeria)
Elvis Obi (Department of Electronic and Telecommunication Engineering, Faculty of Engineering, Ahmadu Bello University, Kaduna State, Zaria. Nigeria)
Shamsudeen. A. Mikail (Department of Electronic and Telecommunication Engineering, Faculty of Engineering, Ahmadu Bello University, Kaduna State, Zaria. Nigeria)
Njoku Franklin. C (Department of Telecommunications Engineering, Air Force Institute of Technology, Kaduna, Nigeria)
Botson Ishaya Chollom (Department of Electrical/Electronic Engineering Technology, School of Engineering Technology, Federal Polytechnic Nasarawa Nasarawa State. Nigeria.)
Paul Thomas Muge (Department of Electrical and Electronic Engineering, School of Engineering Technology, Federal Polytechnic N’yak Shadam Plataeu state, Nigeria)
Athanisius Terlumun Utev
Ridwan. O Eleshin (Department of Electrical/Electronic Engineering Technology, School of Engineering Technology, Federal Polytechnic Nasarawa Nasarawa State. Nigeria)
Fatima Ashafa (Department of Electrical/Electronic Engineering Technology, School of Engineering Technology, Federal Polytechnic Nasarawa Nasarawa State. Nigeria)
Asebakeoghene J. Khama (Department of Electrical/Electronic Engineering Technology, School of Engineering Technology, Federal Polytechnic Nasarawa Nasarawa State. Nigeria.)

Vokasi UNESA Bulletin of Engineering, Technology and Applied Science
Vol. 3 No. 3 (2026)

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.