Enhance Energy Using Bio-Inspired Algorithms in Manet: An Overview

The limited power availability in Mobile Ad hoc Networks (MANETs) poses a fundamental challenge, as node instability and the lack of power supply contribute to reduced network lifetime, impacting MANET performance. In recent years, there has been a growing interest in exploring Artificial Intelligence approaches, particularly bio-inspired algorithms, for MANET routing due to their adaptability and robustness. These approaches have shown promise in minimizing energy consumption, reducing overhead, and improving overall network efficiency. This paper provides an overview of enhancing energy efficiency using bio-inspired algorithms through the application of various meta-heuristic approaches in MANET routing. This paper provides a synthesis of existing research on bio-inspired algorithms in MANET routing, highlighting their effectiveness in addressing energy-related challenges. Furthermore, the paper outlines potential future research directions, including the ex- ploration of hybrid algorithms and the integration of machine learning techniques to further optimize energy efficiency in MANETs.