A Q-learning-based mobility-aware tree routing protocol in wireless body area networks

Wireless body area networks (WBANs) are widely used in both medical and non-medical applications. In these networks, routing protocols face specific challenges due to energy constraints, bandwidth limitations, heterogeneity, node mobility, and dynamic topology. Although reinforcement learning (RL),