A. D. Salman

Deep Reinforcement Learning-Based Adaptive Protocol Optimization for Heterogeneous IoT Networks in 5G-Enabled Smart Cities

APO-DRL (Adaptive Protocol Optimization using Deep Reinforcement Learning), a framework that utilizes a Dueling Double Deep Q-Network combined with a Prioritized Experience Replay mechanism for intelligent, real-time communication protocol selection and parameter optimization in heterogeneous IoT networks, is presented.