Multi Agent Reinforcement Learning for Sleep Scheduling and Energy-Efficient Routing in Sustainable Wireless Sensor Networks
Wireless sensor networks (WSNs) enable energyautonomous Internet of Things (IoT) services. However, intensive communications, idle listening, and non-coordinated sleep mechanisms drain batteries quickly and cause network unavailability. This study proposes GreenSense-MARL, a multiagent reinforcement learning framework...