Enhancing Wireless Network Performance Using Zone-Based Reinforcement Learning: The ZoneWise-RL Approach

Wireless devices are essential for communication in networks but face limitations in memory and power, affecting their ability to manage computational tasks. Routing, though crucial, consumes significant energy. To address this, we propose ZoneWise-RL, an energy-efficient routing protocol based on reinforcement learning (RL). RL enables devices to adapt to dynamic network conditions, optimizing routing decisions based on mobility and energy fluctuations. Compared to existing protocols, ZoneWise-RL outperforms in energy efficiency, network lifetime, and scalability, making it a robust solution for sustainable routing in wireless networks.