Energy-Efficient Resource Allocation in Vehicular Edge Networks Using Reinforcement Learning: A Framework for Sustainable Urban Mobility
The proliferation of Connected and Autonomous Vehicles (CAVs) has led to an increased demand for efficient computation offloading strategies in Vehicular Edge Computing (VEC) networks with the goal of reducing latency and energy consumption. This need is further stressed by the essential function played by such strateg...