Internet of Underwater Things: Developing Next Generation Large-Scale Autonomous Ocean Monitoring Systems

世界正在经历一个气候变化的时代，石油勘探的增加，商业船只和油轮在海冰上航行，北极自然资源的勘探，近海捕鱼活动的增加，海外货物运输的增长，其中船舶运载了大约95%的货物在北方。因此，对海洋进行持续、自主、实时、大规模的数据采集、监测和监视，深入了解海洋的关键作用，可持续地探索和保护海洋，有效地共享信息，以支持海上交通和提高安全航行，有效地应对深海和冰海的突发事件和事故。令人担忧的事实是，目前的海洋数据采样技术存在严重的局限性，远远不能满足对智能海洋应用日益增长的需求。该提案致力于研究、设计和开发用于水下监测的创新技术和自主基础设施的基础，这将满足对各种水下传感和计算资源不断增长的需求，从而使下一代大规模、自主和实时智能海洋应用成为可能。为此，该项目将解决软件定义水下物联网（SDN-IoUTs）中用于多媒体和时间关键型智能海洋应用的资源管理和控制、拓扑控制和内容交付方面的关键和基本挑战。PI正在响应来自深海的多媒体数据和支持在深海和冰海发生灾害和紧急情况时快速响应的自主技术日益增长的需求。本研究的长期目标是为sdn - iout中的多媒体内容传输设计有效的协议和体系结构。最后，但并非最不重要的是，该计划预计将产生知识和原则，这将导致智能海洋应用的无线网络和服务供应系统的新时代的发展，培训HQP在ICT和智能海洋和离岸加拿大公司日益增长的需求领域，帮助这些加拿大行业成为技术进步的领跑者。加强加拿大的竞争地位，实现建立世界领先的海上安全体系的目标。

The world is experiencing an era of climate change, increased oil exploration, and commercial ships and oil tankers travel on sea ice, exploration of natural resources on the Arctic, a rising of offshore fishing activities, growth of overseas transportation of goods, where ships carry approximately 95% of goods in North. Therefore, it is urgent the persistent, autonomous, real-time and large-scale data collection, monitoring, and surveillance of oceans towards the in-deep understanding of the critical roles they play, their sustainable exploration and protection, as well as the efficient information sharing for supporting marine traffic and improve safety navigation, and the effective response in case of emergencies and accidents in deep and iced sea. The worrying fact is that current technologies for data-sampling from oceans have severe limitations and are far from supporting the ever-growing demand for smart ocean applications. This proposal is devoted to investigate, design and develop the foundations towards an innovative technology and autonomous infrastructure for underwater monitoring, which will supply the ever-growing demand for all sorts of underwater sensing and computation resources that will empower the next generation of large-scale, autonomous and real-time smart ocean applications. To do so, this program will address critical and fundamental challenges in terms of resource management and control, topology control, and content delivery in software-defined Internet of Underwater Things (SDN-IoUTs) for multimedia and time-critical-based smart ocean applications. The PI is responding to the growing demands of multimedia data from deep oceans and of autonomous technologies for supporting fast response in case of disasters and emergencies in deep and ice sea. The long-term vision of this research is towards the design of efficient protocols and architectures for multimedia content delivery in SDN-IoUTs. Last, but not least, this program is expected to produce the knowledge and principles that will lead to the development of a new era in wireless networking and service provisioning systems for smart oceans-based applications, training HQP in areas with impressive growing demand by ICT and smart ocean and offshore Canadian companies, assist these Canadian industries to be the frontrunner of the technological advancements, and enhance Canada's competitive position and goal of creating a world-leading marine safety system.