用无人机协同提升潜水员水下通信速度与可靠性
SafeDiver: Cooperative AUV-USV Assisted Diver Communication via Multi-agent Reinforcement Learning Approach
- 多智能体强化学习控制无人潜航器动态组网
- 模拟验证实现高可靠高速水下数据传输
- 适合深海作业、应急救援等复杂场景
随着水下人类活动增加，水下通信服务面临严峻挑战。现有潜水员通信方法受固有缺陷和复杂水下环境制约。本文提出一种基于海上无人系统辅助的通信方案：多艘无人潜航器（AUV）搭载光声双模通信设备作为中继节点，根据潜水员活动区域变化自适应提供通信服务；通过多智能体强化学习（MARL）控制AUV协同移动，实现潜水员间高速可靠数据传输；同时利用无人水面艇（USV）按需部署、覆盖广的优势，作为水面中继节点，协调并转发AUV信息，控制AUV动态选择最优USV节点进行数据传输，从而实现潜水员与水面平台间的高质量通信。仿真验证表明，该方案能有效实现潜水员的可靠、高速通信。
原文摘要 · Abstract (English)
As underwater human activities are increasing, the demand for underwater communication service presents a significant challenge. Existing underwater diver communication methods face hurdles due to inherent disadvantages and complex underwater environments. To address this issue, we propose a scheme that utilizes maritime unmanned systems to assist divers with reliable and high-speed communication. Multiple AUVs are equipped with optical and acoustic multimodal communication devices as relay nodes, providing adaptive communication services based on changes in the diver's activity area. By using a multi-agent reinforcement learning (MARL) approach to control the cooperative movement of AUVs, high-speed and reliable data transmission between divers can be achieved. At the same time, utilizing the advantages of on-demand deployment and wide coverage of unmanned surface vehicles (USVs) as surface relay nodes to coordinate and forward information from AUVs, and controlling AUVs to adaptively select relay USV nodes for data transmission, high-quality communication between divers and surface platform can be achieved. Through simulation verification, the proposed scheme can effectively achieve reliable and high-speed communication for divers.
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