CRII: CNS: Toward a Sustainable and Intelligent Air-Ground IoT Framework for Remote Monitoring
CRII: CNS: Toward a Sustainable and Intelligent Air-Ground IoT Framework for Remote Monitoring
批准号:
2153524
负责人:
Chen Pan
金额:
$17.26万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-07-01 至 2023-11-30
中文摘要
点击翻译按钮获取中文摘要
英文摘要
This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Energy harvesting devices can significantly benefit Internet of Things (IoT) applications for remote areas, such as forests, farmlands, and oceans, where electrical power infrastructures are generally unavailable. However, due to the remoteness and limited power budget, it’s difficult for those energy harvesting-powered IoT devices to deliver critical information to the backbone of the IoT network. Emerging unmanned aerial vehicles (UAVs), such as quadcopters, offer a reliable, controllable, and flexible way of conducting information ferry in the context of energy harvesting, regardless of the landscapes they may fly over. Nevertheless, the air-ground integration between energy harvesting-powered IoT devices and UAVs faces fundamental challenges. In the air, each UAV's coverage is constrained by limited energy. On the ground, routing among energy harvesting IoT devices is susceptible to power failures caused by intermittent energy shortages. This research seeks to develop a sustainable and intelligent air-ground IoT framework to enable efficient collaboration between UAVs and energy harvesting devices for effective data sensing, processing, and delivery for remote monitoring.This research will lay a foundation for the deployment of energy harvesting IoT devices in remote areas with low cost, enhanced reliability, and energy efficiency. The outcomes of this research will include novel algorithms, protocols, optimizations, and hardware platforms that will significantly benefit cutting-edge IoT applications, such as smart agriculture, wild animal tracking, forestry management, coastal monitoring, and more. The research results will be closely integrated into the education and training of students. This project will promote the participation of underrepresented groups and K-12 students in STEM. All designs will be made publicly available for broad adoption and future research advances.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(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1109/tcad.2022.3197543
发表时间:
2022-11
期刊:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
影响因子:
2.9
作者:
[Wen Zhang;Mimi Xie;Caleb Scott;Chen Pan]
通讯作者:
Wen Zhang;Mimi Xie;Caleb Scott;Chen Pan
DOI:
10.1109/tcad.2023.3266724
发表时间:
2023-11
期刊:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
影响因子:
2.9
作者:
[Chen Pan;Wen Zhang;Yanzhi Wang;Mimi Xie]
通讯作者:
Chen Pan;Wen Zhang;Yanzhi Wang;Mimi Xie
CRII: CNS: Toward a Sustainable and Intelligent Air-Ground IoT Framework for Remote Monitoring
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批准号:2348818
-
项目类别:Standard Grant
-
资助金额:$17.26万
-
财政年份:2023
-
负责人:Chen Pan
-
依托单位:
国内基金
海外基金
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