ITR: Self-Configuring Sensor Networks for Disaster Prevention, Mitigation and Relief

ITR：用于防灾、减灾和救灾的自配置传感器网络

• 批准号: 0325556
• 负责人: Stephen Wicker
• 金额: --
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-15 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0325556&HistoricalAwards=false
• 关键词: ITR; Self; Configuring; Sensor; Networks

The goal of our proposed ITR research is the development of rapidly-deployable, self-configuring sensor networks that can provide life-saving information to rescue personnel after major urban disasters. The proposed networks will be survivable, autonomous, adaptive, self-configuring, and provide minimal risk to rescue personnel. Our approach to this project is broad in scope, yet highly integrated. The PI separate the problem of developing self-configuring sensor networks into layers -- device, link, network, and application - in order to get a clear perspective on the problems that have to be solved. The PI research teams will characterize and exploit the information that flows across these layers, with the goal of insuring that the technology development at each layer is realistic and effective, while integrating seamlessly with work at other layers. Using this approach, we propose research into four areas: sensor development and characterization, distributed detection and sensor fusion, self-configuring network control algorithms, and application development. The PI will coordinate the proposed research with ongoing research supported by Los Angeles Department of Water and Power, using an actual, complex system to test sensors and model sensor deployment strategies.

我们提出的ITR研究的目标是开发快速部署、自配置的传感器网络，在重大城市灾害后为救援人员提供救生信息。所提出的网络将是可生存的、自主的、自适应的、自配置的，并为救援人员提供最小的风险。我们对这个项目的方法范围广泛，但高度集成。PI将开发自配置传感器网络的问题划分为几个层次——设备、链路、网络和应用——以便对必须解决的问题有一个清晰的视角。PI研究团队将描述和利用流经这些层的信息，其目标是确保每一层的技术开发是现实和有效的，同时与其他层的工作无缝集成。利用这种方法，我们建议研究四个领域：传感器开发和表征，分布式检测和传感器融合，自配置网络控制算法和应用开发。PI将协调拟议的研究与正在进行的研究由洛杉矶水电局支持，使用一个实际的，复杂的系统来测试传感器和模型传感器部署策略。