NeTS-NOSS: SensorNet Architectures for Indoor Location Detection: From Resolution to Robustness

NeTS-NOSS：用于室内位置检测的 SensorNet 架构：从分辨率到鲁棒性

• 批准号: 0435312
• 负责人: David Starobinski
• 金额: --
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0435312&HistoricalAwards=false
• 关键词: NeTS; NOSS; SensorNet; Architectures; Indoor

Proposal Number: 0435312PI: David Starobinski Institution: Boston University Title: SensorNet Architectures of Indoor Location Detection: From Resolution to RobustnessAbstract: The ability to accurately and robustly determine the location of sensors or targets is fundamental to the operation of sensor networks. In open outdoor settings, this can be performed with trilateration techniques used by the Global Positioning System (GPS). However, in indoor or dense urban environments, such techniques face a wide variety of debilitating complications, including signal reflections, occlusions, and unpredictable dependencies (e.g., doors opening and closing). This project is investigating fundamental performance limits of indoor location detection systems and aims at prototyping sensor network architectures that approach these limits. The work focuses on tradeoffs between robustness and resolution of such systems, drawing on the literature in coding theory, large deviations, and mathematical programming. Paralleling the development of GPS, the results of this project could serve as a cornerstone technology for a wide variety of applications, including tracking of shared equipment, victim disaster rescue, or indoor navigation for the blind

提案编号：0435312 PI： 大卫斯塔罗宾斯基机构： 波士顿大学标题：室内位置检测的SensorNet架构：从分辨率到Robustness摘要：准确和鲁棒地确定传感器或目标的位置的能力是传感器网络运行的基础。 在开放的室外环境中，这可以通过全球定位系统（GPS）使用的三边测量技术来执行。 然而，在室内或密集的城市环境中，这样的技术面临各种各样的削弱复杂性，包括信号反射、遮挡和不可预测的依赖性（例如，门打开和关闭）。 该项目正在研究室内位置检测系统的基本性能限制，并旨在对接近这些限制的传感器网络架构进行原型设计。 这项工作的重点是鲁棒性和分辨率之间的权衡，这样的系统，借鉴文献编码理论，大偏差，数学规划。 该项目的成果将推动全球定位系统的发展，可作为各种应用的基础技术，包括跟踪共享设备、灾难救援或盲人室内导航