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.

该奖项是根据2021年《美国救援计划法》的全部或部分资助（公法117-2）。能量收获设备可以显着受益于偏远地区的物联网应用程序（IoT）应用，例如森林，农田和海洋，那里电力基础设施通常无法获得。但是，由于偏远和功率预算有限，这些能源收获的IoT设备很难为IoT网络的支柱传递关键信息。新兴的无人驾驶飞机（UAV），例如四轮驱动器，在能源收集的背景下，提供了一种可靠，控制和灵活的方式，无论它们可能飞过什么景观。然而，能源收获驱动的物联网设备和无人机之间的空气融合面临着根本的挑战。在空中，每个无人机的覆盖范围都受到有限的能量的限制。在地面上，能源收集的物联网设备之间的路由容易受到间歇性能量短缺引起的功率故障。这项研究旨在开发一种可持续且智能的空中IoT框架，以实现无人机和能源收集设备之间有效的合作，以有效的数据感应，处理和交付，以进行远程监控。这项研究将为偏远地区的能源收集设备部署提供基础，以低成本，增强的可靠性，增强的可靠性和能源效率。这项研究的结果将包括新颖的算法，协议，优化和硬件平台，这些平台将极大地受益于尖端的物联网应用，例如智能农业，野生动物跟踪，林业管理，沿海监测等。研究结果将紧密整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。所有设计都将公开用于广泛的采用和未来的研究进展。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准来诚实地通过评估来诚实地支持。