CRI: IAD Infrastructure for Environmental Monitoring and Modeling using Large-Scale Sensor Networks

CRI：使用大规模传感器网络进行环境监测和建模的 IAD 基础设施

• 批准号: 0709285
• 负责人: Yan Huang
• 金额: $ 24.6万
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0709285&HistoricalAwards=false
• 关键词: CRI; IAD; Infrastructure; Environmental; Monitoring

Proposal #: CNS 07-09285PI(s): Huang, Yan Acevedo, Miguel F.; Fu, Shengli; Li, Xinrong; Thompson, RuthanneInstitution: University of North Texas Denton, TX 76203-5250Title: IAD: Infr for Environmental Monitoring and Modeling using Large-Scale Sensor NetworksProject Proposed:This project, developing a publicly available environmental monitoring computer research infrastructure, incorporates open sensor network platforms and tools with intertwined wired and wireless sensors and actuators to support computing research and education. Through the one-stop web interface, users will be able to perform over-the-air programming on the wireless sensor networks and collect, model, and visualize real-time environmental data about water, land, and air from thousands of miles away. A channel measurement toolbox will be developed to capture propagation characteristics for the field of wireless sensor networks. Extensive data, including RF signal strength and throughput, will be collected for different scenaris. The work contributes to develop the Texas Environmental Observatory (TEO) that builds upon and goes beyond the ECOPLEX (Environmental Conditions Online of DFW MetroPLEX). TEO provides a real life testbed for projects that would be impossible without the deployment of large-scale environmental monitoring sensor networks and the fine-grained spatio-temporal sensor data.Broader Impacts: The infrastructure enables immediate interdisciplinary research and education projects that include energy efficient map interpolation, robust localization models, code designs for cooperative communication in wireless sensor networks, high resolution near real time environmental monitoring and modeling, and modeling for K-12 teachers/students.

提案编号：CNS 07-09285PI(s)：Huang、Yan Acevedo、Miguel F.；付胜利;李欣荣; Thompson, Ruthanne 机构：北德克萨斯大学 Denton, TX 76203-5250 标题：IAD：使用大规模传感器网络进行环境监测和建模的 Infr 项目建议：该项目开发一个公开可用的环境监测计算机研究基础设施，包含开放式传感器网络平台和具有相互交织的有线和无线传感器和执行器的工具，用于支持计算研究和教育。通过一站式网络界面，用户将能够在无线传感器网络上执行无线编程，并收集、建模和可视化数千英里之外的水、土地和空气的实时环境数据。将开发信道测量工具箱来捕获无线传感器网络领域的传播特性。将为不同场景收集大量数据，包括射频信号强度和吞吐量。这项工作有助于开发德克萨斯州环境观测站 (TEO)，该观测站建立在 ECOPLEX（DFW MetroPLEX 在线环境条件）的基础上并超越了 ECOPLEX。 TEO 为项目提供了现实生活中的测试平台，如果没有大规模环境监测传感器网络和细粒度时空传感器数据的部署，这些项目就不可能实现。 更广泛的影响：该基础设施能够立即开展跨学科研究和教育项目，其中包括节能项目地图插值、稳健的定位模型、无线传感器网络中协作通信的代码设计、高分辨率近实时环境监测和建模以及 K-12 教师/学生的建模。