Towards a Sustainable Internet-of-Underwater-Things based on AUVs, SWIPT, and Reinforcement Learning

no code implementations • 21 Feb 2023 • Kenechi G. Omeke, Michael Mollel, Syed T. Shah, Lei Zhang, Qammer H. Abbasi, Muhammad Ali Imran

In this paper, we propose a sustainable scheme to improve the throughput and lifetime of underwater networks, enabling them to potentially operate indefinitely.

Decision Making Reinforcement Learning (RL)