With people paying more attention to marine resources, the Internet of Things (IoT) has been extended to underwater, promoting the development of the Internet of Underwater Things (IoUT). Various compelling IoUT applications bring a new age to maritime activities. However, some mis-sion-critical maritime activities, including ocean earthquake forecasting, underwater navigation, and so on, pose a substantial challenge on existing IoUT architectures and relevant techniques. Therefore, in this article, to empower these implacable maritime activities, we conceive the concept of mission-critical IoUT and highlight its key features and challenges. Furthermore, to satisfy the stringent requirements of mission-critical IoUT, we propose a future maritime network architecture and machine-learning-aided key techniques in terms of information sensing, transmission, and processing. Moreover, we present our recent research on reliable and low-latency underwater information transmission. Finally, we provide the open issues and potential research trends for future mission-critical IoUT.

中文翻译：

---

机器学习辅助任务关键型水下物联网

随着人们对海洋资源的日益关注，物联网（IoT）已经延伸到水下，推动了水下物联网（IoOUT）的发展。各种引人注目的 IoUT 应用程序为海事活动带来了新时代。然而，一些关键任务的海上活动，包括海洋地震预报、水下导航等，对现有的 IoUT 架构和相关技术构成了重大挑战。因此，在本文中，为了赋予这些无情的海上活动权力，我们构思了关键任务 IoUT 的概念，并强调了其关键特征和挑战。此外，为了满足关键任务 IoUT 的严格要求，我们在信息传感方面提出了未来的海事网络架构和机器学习辅助的关键技术，传输、处理。此外，我们介绍了我们最近对可靠和低延迟水下信息传输的研究。最后，我们为未来的关键任务 IoUT 提供了未解决的问题和潜在的研究趋势。