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: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=740644
• 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，商船和油轮在海冰上航行，北极自然资源的勘探，远洋渔业活动的增加，海外货物运输的增长，其中约95%的货物来自北方。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，以深入了解海洋的关键作用、可持续的勘探和保护、有效的信息共享，以支持海上交通和改善安全航行，以及在深海和结冰的海洋发生紧急情况和事故时的有效应对。令人担忧的事实是，目前从海洋中进行数据采样的技术具有严重的局限性，远远不能支持对智能海洋应用程序日益增长的需求。该提案致力于调查、设计和发展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日益增长的需求，使下一代大规模、自主和实时的智能海洋应用成为可能。为此，该计划将解决在用于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-IoUTS)中的资源管理和控制、拓扑控制和内容交付方面的关键和根本挑战。PI正在应对深海对多媒体数据的日益增长的需求，以及在深海和冰海发生灾害和紧急情况时支持快速反应的自主技术的日益增长的需求。这项研究的长期愿景是为SDN-IoUT中的多媒体内容交付设计有效的协议和体系结构。最后，但并非最不重要的一点是，该计划预计将产生知识和原则，将引领基于智能海洋的应用程序的无线网络和服务供应系统的新时代的发展，在ICT和智能海洋和离岸加拿大公司需求令人印象深刻的领域培训HQP，帮助这些加拿大行业成为技术进步的领跑者，并增强加拿大的竞争地位和创建世界领先的海洋安全系统的目标。