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

水下物联网：开发下一代大规模自主海洋监测系统

• 批准号: RGPIN-2020-05541
• 负责人: LimaCoutinho, Rodolfo
• 金额: $ 2.11万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752177
• 关键词: Internet; Underwater; Things; Developing; Next

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.

世界正在经历一个气候变化的时代，石油勘探增加，商业船只和油轮在海冰上行驶，北极自然资源勘探，海上捕鱼活动增加，海外货物运输增长，其中船舶在北极运送大约95%的货物。因此，迫切需要对海洋进行持续、自主、实时和大规模的数据收集、监测和监视，以深入了解海洋所发挥的关键作用，实现海洋的可持续开发和保护，以及有效的信息共享，以支持海洋交通和改善安全航行，并在深海和冰海发生紧急情况和事故时作出有效反应。令人担忧的事实是，目前从海洋采集数据的技术存在严重的局限性，远远不能支持对智能海洋应用日益增长的需求。该提案致力于研究、设计和开发水下监测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，从而为下一代大规模、自主和实时智能海洋应用提供支持。为此，该计划将解决多媒体和时间关键型智能海洋应用的软件定义的水下物联网（SDN-IoUT）中的资源管理和控制，拓扑控制和内容交付方面的关键和基本挑战。PI正在应对来自深海的多媒体数据和自主技术的日益增长的需求，以支持在深海和冰海发生灾害和紧急情况时的快速反应。这项研究的长期愿景是为SDN-IoUT中的多媒体内容交付设计高效的协议和架构。最后，但并非最不重要的是，该计划预计将产生的知识和原则，这将导致一个新时代的发展，无线网络和服务供应系统的智能海洋为基础的应用，培训HQP领域与信息通信技术和智能海洋和离岸加拿大公司的需求令人印象深刻的增长，协助这些加拿大行业成为技术进步的领跑者，并提高加拿大的竞争地位和建立世界领先的海洋安全系统的目标。