Collaborative Research: CRI: Large-Scale Open Sensor Network Testbed for Urban Monitoring

合作研究：CRI：用于城市监控的大规模开放传感器网络测试平台

• 批准号: 0551417
• 负责人: Matthew Welsh
• 金额: $ 22.94万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0551417&HistoricalAwards=false
• 关键词: Collaborative; Research; CRI; Large; Scale

This collaborative project, deploying a large-scale open sensor network testbed for urban monitoring (called CitySense), aims at building a large-scale, urban sensor testbed of nodes powered by city electricity and then operating it as an open facility for academic and industrial groups to experiment with novel distributed sensing architectures. The modular network nodes will be attached to streetlights for power. These nodes contain sufficient processing power and memory to handle a wide range of experimental software, plus radios to interconnect all the nodes by multi-hop networking across Cambridge to its wireline access points. Each node comes with software in flash to provide a robust sensor network architecture including reliable ad hoc networking. CitySense will be tested with a specific application: monitoring air pollution transport in a dense urban environment. Aiming at pushing the envelope for sensor network testbeds, CitySense contains a basic set of meteorological and air quality sensors supporting a broad range of research projects in large-scale sensor networks. Enabling many research experiments with a real large-scale in-situ WSN, the overall research focuses on:-High-level programming models for WSN,-Resource sharing among multiple users of the testbed,-Data collection from geographically diverse sensor nets, and-Urban-scale air pollution monitoring. Broader Impact: By providing a permanent, extensible, public testbed, CitySense should have significant impact on the development of large-scale wireless sensor network systems. The open city-wide testbed allows external groups to remotely download their software images into all the nodes in the network, or into a sensor swath when multiple groups share the testbed. Monitoring air pollution transport in a dense urban environment, the application constitutes one of the first high-resolution studies of pollution and its effect on the urban population. Moreover, CitySense will be used as a tool to teach distributed systems concepts. Outreach involves curriculum development for K-12 in sensor networks.

该合作项目部署了一个用于城市监控的大型开放式传感器网络试验台（称为CitySense），旨在建立一个由城市电力供电的大型城市传感器试验台，然后将其作为一个开放设施运行，供学术和工业团体试验新型分布式传感架构。模块化网络节点将连接到路灯供电。这些节点有足够的处理能力和内存来处理各种各样的实验软件，加上无线电，通过跨剑桥的多跳网络将所有节点连接到有线接入点。每个节点都带有flash软件，以提供强大的传感器网络架构，包括可靠的自组织网络。CitySense将在一个特定的应用中进行测试：在密集的城市环境中监测空气污染运输。CitySense旨在推动传感器网络测试平台的发展，包含一套基本的气象和空气质量传感器，支持大规模传感器网络中的广泛研究项目。通过一个真实的大规模原位WSN进行许多研究实验，总体研究重点是：- WSN的高级编程模型，-测试平台的多个用户之间的资源共享，-从地理上不同的传感器网络收集数据，以及城市尺度的空气污染监测。更广泛的影响：通过提供一个永久的、可扩展的公共测试平台，CitySense将对大规模无线传感器网络系统的发展产生重大影响。开放的全市测试平台允许外部小组远程下载他们的软件图像到网络中的所有节点，或者当多个小组共享测试平台时下载到传感器带。在密集的城市环境中监测空气污染的运输，该应用程序是对污染及其对城市人口影响的第一批高分辨率研究之一。此外，CitySense将被用作教授分布式系统概念的工具。拓展活动包括为K-12课程开发传感器网络。