TrajGNN-RL: Adaptive Mobile Sink Intelligence for Lifetime-Aware Wireless Sensor Networks
Mobile wireless sensor networks require adaptive routing and sink mobility strategies to reduce energy imbalance, congestion, and communication delay. In this study, we propose a new method called TrajGNN-RL that combines the topology learning method based on a graph neural network with the deep reinforcement learning...