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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:
2016582
负责人:
Klementyna Kasraie
金额:
$62.0万
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
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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.
期刊论文(7)
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科研奖励(0)
会议论文
First Step Towards μNet: Open-Access Aquatic Testbeds and Robotic Ecosystem
迈向μNet的第一步:开放式水生试验台和机器人生态系统
DOI: 10.1145/3491315.3491322
发表时间: 2021
期刊: 15th Internationa Conference on Underwater Networks & Systems (WUWNet’21
影响因子: --
作者: [Mayberry, Scott, Wang, Junkai, Tao, Qiuyang, Zhang, Fumin, Song, Aijun, Hong, Xiaoyan, Dong, Shuai, Webb, Connor, Dugaev, Dmitrii, Peng, Zheng]
通讯作者: Peng, Zheng
Distributed Cooperative Kalman Filter Constrained by Discretized Poisson Equation for Mobile Sensor Networks
移动传感器网络离散泊松方程约束的分布式协同卡尔曼滤波器
DOI: 10.23919/acc55779.2023.10156161
发表时间: 2023
期刊: 2023 American Control Conference
影响因子: --
作者: [Zhang, Ziqiao, Mayberry, Scott T., Wu, Wencen, Zhang, Fumin]
通讯作者: Zhang, Fumin
A Laplacian Regularized Least Square Algorithm for Motion Tomography
运动层析成像拉普拉斯正则化最小二乘算法
DOI: 10.23919/acc50511.2021.9482730
发表时间: 2021
期刊: Proc. American Control Conference (ACC 2021
影响因子: --
作者: [Ouerghi, Meriam, Zhang, Fumin]
通讯作者: Zhang, Fumin
DOI: 10.1145/3567600.3568157
发表时间: 2022-11
期刊: Proceedings of the 16th International Conference on Underwater Networks & Systems
影响因子: --
作者: [Jinzhi Cai;Scott Mayberry;Fumin Zhang]
通讯作者: Jinzhi Cai;Scott Mayberry;Fumin Zhang
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