CRII: CNS: Toward a Sustainable and Intelligent Air-Ground IoT Framework for Remote Monitoring

CRII：CNS：迈向可持续、智能的远程监控空地物联网框架

• 批准号: 2348818
• 负责人: Chen Pan
• 金额: $ 17.26万
• 依托单位: University of Texas at San Antonio
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2348818&HistoricalAwards=false
• 关键词: CRII; CNS; Toward; Sustainable; Intelligent

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.

该奖项全部或部分由2021年美国救援计划法案（公法117-2）资助。能源收集设备可以显著有利于偏远地区的物联网（IoT）应用，例如森林，农田和海洋，这些地区通常无法使用电力基础设施。然而，由于位置偏远和功率预算有限，这些能量收集驱动的物联网设备很难将关键信息传递到物联网网络的主干。新兴的无人驾驶飞行器（UAV），如四轴飞行器，提供了一种可靠、可控和灵活的方式，在能量收集的背景下进行信息摆渡，而不管它们可能飞过的地形如何。然而，能量收集驱动的物联网设备和无人机之间的空地集成面临着根本性的挑战。在空中，每个无人机的覆盖范围受到有限能量的限制。在地面上，能量收集物联网设备之间的路由很容易受到间歇性能源短缺引起的电源故障的影响。该研究旨在开发一个可持续的智能空地物联网框架，使无人机和能量收集设备之间能够高效协作，实现有效的数据感知、处理和传输，以实现远程监控，为在偏远地区部署低成本、高可靠性和高能效的能量收集物联网设备奠定基础。这项研究的成果将包括新颖的算法、协议、优化和硬件平台，这些将显着有利于尖端物联网应用，例如智能农业、野生动物跟踪、林业管理、沿海监测等。研究成果将紧密结合到学生的教育和培训中。该项目将促进代表性不足的群体和K-12学生参与STEM。所有的设计都将被公开，以供广泛采用和未来的研究进展。该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。