Coverage Control for Underwater Acoustic Mobile Sensor Networks with Connectivity and Energy Constraints Based on Multi-Agent Deep Reinforcement Learning
Results validate that the proposed hierarchical architecture effectively mitigates the exploration burden, prevents topology fragmentation, and enables robust, energy-efficient cooperative coverage in underwater acoustic mobile sensor networks.