Trust-Aware Energy Optimization Techniques in Mobile Ad-hoc Networks
Samuel Isah, Jeffrey Ovre Agushaka, Selumun Agber · Proceedings of the Faculty of Science Conferences · 2025
This systematic review paper provides a comprehensive analysis of recent advancements in energy optimization techniques for Mobile Ad-hoc Networks (MANETs). MANETs play a critical role in modern communication systems, enabling dynamic and decentralized networking in various applications, including disaster recovery, military operations, and remote sensing. However, energy consumption remains a significant challenge due to the limited power resources of mobile nodes, directly impacting network performance and lifespan. In recent years, optimization techniques such as metaheuristic algorithms, adaptive transmission power control, and machine learning models have shown remarkable potential in addressing these challenges by enhancing energy efficiency and prolonging network lifetime. This paper reviews the current trends in energy optimization for MANETs, including trust-aware routing protocols, clustering methods, and advanced mobility models like the Gauss-Markov model. Additionally, it provides a detailed analysis of the simulation parameters and metrics used in the studies, highlighting their applicability and limitations. The review also identifies key areas for future research, such as developing lightweight and scalable algorithms, integrating heterogeneous network technologies, and refining mobility and traffic models for more realistic simulations. The paper concludes by summarizing the key findings of the systematic review and emphasizing the importance of continuous innovation in energy optimization strategies to enhance the sustainability and reliability of MANETs. This review serves as a valuable resource for researchers and practitioners, guiding the development of robust and efficient networking solutions.