A Multi-Agent Reinforcement Learning Congestion Control Protocol for Wireless Networks
A multi-agent RL congestion control mechanism for WANETs is proposed, a traffic prioritization mechanism is introduced and, through simulations in diverse conditions, the solution is compared with existing ones, both in terms of performance and energy awareness.