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

提案编号：CNS 07- 09285 PI： Huang，Yan阿切韦多，Miguel F.;傅胜利;李新荣;汤普森 丹顿，TX 76203- 5250标题： IAD：Infr环境监测和建模使用大规模传感器网络项目建议：该项目，开发一个公开的环境监测计算机研究基础设施，采用开放的传感器网络平台和工具，有线和无线传感器和执行器交织在一起，以支持计算研究和教育。通过一站式Web界面，用户将能够在无线传感器网络上执行空中编程，并从数千英里外收集，建模和可视化有关水，土地和空气的实时环境数据。将开发一个信道测量工具箱，以捕获无线传感器网络领域的传播特性。将为不同的场景收集广泛的数据，包括RF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的环境条件在线）的基础上并超越ECOPLEX。TEO为项目提供了一个真实的试验平台，如果不部署大规模环境监测传感器网络和细粒度时空传感器数据，这些项目就不可能实现。该基础设施可以立即进行跨学科的研究和教育项目，包括节能地图插值，鲁棒的定位模型，无线传感器网络中合作通信的代码设计，高分辨率近真实的时间环境监测和建模，以及为K-12教师/学生建模。

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.