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CCRI: Medium: Collaborative Research: mu-Net: Infrastructure to Advance Mobile Underwater Wireless Networking Research

CCRI: Medium: Collaborative Research: mu-Net: Infrastructure to Advance Mobile Underwater Wireless Networking Research
CCRI:媒介:合作研究:mu-Net:推进移动水下无线网络研究的基础设施
批准号:
2016726
负责人:
Aijun Song
金额:
$88.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-10-01 至 2024-09-30

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中文摘要
翻译
包括海洋、湖泊和河流在内的水生环境是生命的基础。一个令人兴奋的方向是使用一组机器人来支持水生环境中的科学和发现。目前,没有可供国家机构使用的共享基础设施来研究一组机器人如何在水下环境中相互协调。该项目开发了一种低成本和灵活的基础设施,称为mu-Net,以支持全国各地机构用户的实验室测试和现场实验。mu-Net基础设施是阿拉巴马大学和佐治亚理工学院的合作项目,通过降低研究参与门槛来推进水下技术。它还支持培训下一代劳动力来管理和保护海洋资源。mu-Net基础设施使用面向服务的、非分层的软件体系结构来促进集成传感、通信和导航。它包括1)用于模拟和仿真的可重新配置的开源软件套件,2)用于实验室测试的小型化水生机器人,3)用于湖泊测试的商用现成的自主水面航行器和自主水下航行器,以及4)支持共享使用的用户服务。mu-Net框架融合了以网络为中心和以自主为中心的结构功能,增强了协作机器人的灵活组网能力。智力上的优点在于,基础设施使研究能够在多个方向上进行。使能研究的例子包括协作和协调的海洋机器人,水下移动通信网络,海洋机器人联合网络和导航,以及水下物联网。mu-Net基础设施旨在打破水下网络机器人的学科障碍,促进两个领域之间的密切互动。它大大降低了研究人员在海洋生物学、食物来源和经济发展等广泛领域的参与障碍。它有可能激发对地球上广阔水体的更多探索,用于科学和商业活动。该项目使用一系列社区参与活动,如年度研讨会、会议特别会议、暑期培训学校和部署营,来扩展用户社区。此外,由于具有成本效益的资产和用户通过社交媒体参与的推动,mu-Net吸引了不同教育和研究目的的广泛采用,从海洋素养教育,劳动力培训,学术研究到工业技术开发。项目网站为gtsr.gatech.edu/munet.html,用户可以访问实验管理门户、开源模拟器、设计库、测试数据等。项目网站在项目期间定期更新,并计划在项目结束后至少维持三年。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The aquatic environments, including the oceans, lakes, and rivers, are the basis for life. An exciting direction is to use a group of robots to support science and discovery in aquatic environments. Currently, there are no shared infrastructures available to the nation’s institutions to investigate how a group of robots can coordinate with each other in the underwater environment. This project develops a low-cost and flexible infrastructure, referred to as mu-Net, to support both laboratory tests and field experiments for users from institutions around the nation. The mu-Net infrastructure, a collaborative project between the University of Alabama and Georgia Institute of Technology, advances underwater technologies by lowering the research participation threshold. It also supports the training of the next generation workforce to manage and preserve marine resources.The mu-Net infrastructure uses a service-oriented, non-hierarchical software architecture to facilitate integrated sensing, communications, and navigation. It consists of 1) re-configurable, open-source software suites for simulations and emulations, 2) miniaturized aquatic robots for laboratory tests, 3) commercial-off-the-shelf autonomous surface vehicles and autonomous underwater vehicles for lake tests, and 4) user services to support shared usage. The mu-Net framework merges the functionality of network-centric and autonomy-centric structures to enhance flexible networking capability for collaborative robots. The intellectual merit resides in that the infrastructure enables research in multiple directions. Examples of the enabled research include cooperative and coordinated marine robotics, underwater mobile communication networks, joint networking and navigation of marine robots, and underwater Internet of Things.The mu-Net infrastructure aims to break down the underwater networking-robotics disciplinary barrier and promote close interactions between the two fields. It significantly lowers the participation barrier for researchers in a wide range of areas like marine biology, food sources, and economic development. It has the potential to inspire more exploration of the earth’s vast water bodies for scientific and commercial activities. The project uses a spectrum of community engagement activities, such as annual workshops, conference special sessions, summer training school, and deployment camps, to expand user communities. In addition, enabled by the cost-effective assets and fueled by the participation of users via social media, mu-Net attracts widespread adoption for different education and research purposes, ranging from ocean-literacy education, workforce training, academic research, to industrial technology development.The project website is gtsr.gatech.edu/munet.html, where users can access experimental management portal, open-source simulators, design repositories, test data, and so on. The project website is regularly updated during the project period and is planned to be maintained through at least three years after the expiration of the project.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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CAREER: Mobile Underwater Communications Networks Supported by Autonomous Surface Vehicles
  • 批准号:
    2048188
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $49.98万
  • 财政年份:
    2021
  • 负责人:
    Aijun Song
  • 依托单位:
NSF Student Travel Grant for 2019 ACM International Conference on Underwater Networks (WUWNet)
  • 批准号:
    1939340
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.6万
  • 财政年份:
    2019
  • 负责人:
    Aijun Song
  • 依托单位:
MRI: Development of an Underwater Mobile Testbed Using a Software-Defined Networking Architecture
  • 批准号:
    1828678
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2018
  • 负责人:
    Aijun Song
  • 依托单位:
NeTS: Medium: Collaborative Research: Riding the Stress Wave: Integrated Monitoring, Communications, and Networking for Subsea Infrastructure
  • 批准号:
    1801861
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $22.0万
  • 财政年份:
    2018
  • 负责人:
    Aijun Song
  • 依托单位:
海外基金