NeTS-NOSS: Imaging Sensor Nets: from Concept to Prototypes

NeTS-NOSS：成像传感器网络：从概念到原型

• 批准号: 0520335
• 负责人: Upamanyu Madhow
• 金额: --
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0520335&HistoricalAwards=false
• 关键词: NeTS; NOSS; Imaging; Sensor; Nets

Large scale wireless sensor networks with tens of thousands of nodes have a host of potential applications, including homeland security, environmental monitoring and planetary exploration. However, conventional multihop wireless networks do not scale to such large numbers of nodes, and node localization is difficult for random deployment of ultra low-cost sensors. This research provides a proof-of-concept for Imaging Sensor Nets, which address the problems of scale and localization simultaneously, employing ideas analogous to GPS, RFID and CDMA. A "smart" collector node sends an RF beacon, which is electronically reflected and data-modulated by "dumb" sensors illuminated by the beacon. The collector employs baseband and radar/imaging algorithms to process these reflected signals in order to simultaneously estimate the locations and data of the sensors. Millimeter wave carrier frequencies are employed in order to enhance resolution for localization of sensor nodes. The research activitiesinclude the challenging task of low-cost CMOS IC implementation of sensor hardware at millimeter wave frequencies (which are an order of magnitude higher than commercial RF communication systems), hardware brassboarding of the collector transceiver, design and software implementation of innovative baseband signal processing algorithms for timing acquisition and demodulation at the collector, and design and software implementation of imaging algorithms at the collector. In addition to the dissemination of results via the standard avenues of publications and the Internet, both indoor and outdoor demos of the technology will be widely publicized to industry and funding agencies in order to establish a clear path to technology transfer.

拥有数万个节点的大规模无线传感器网络具有许多潜在的应用，包括国土安全、环境监测和行星探索。 然而，传统的多跳无线网络无法扩展到如此大量的节点，并且节点定位对于超低成本传感器的随机部署来说是困难的。 这项研究为成像传感器网络提供了概念验证，该网络采用类似于 GPS、RFID 和 CDMA 的思想，同时解决了规模和定位问题。 “智能”收集器节点发送射频信标，该信标由信标照亮的“哑”传感器进行电子反射和数据调制。 收集器采用基带和雷达/成像算法来处理这些反射信号，以便同时估计传感器的位置和数据。采用毫米波载波频率是为了提高传感器节点定位的分辨率。 研究活动包括在毫米波频率（比商业射频通信系统高一个数量级）传感器硬件的低成本 CMOS IC 实施的挑战性任务、收集器收发器的硬件主板、创新基带信号的设计和软件实施采集器定时采集和解调的处理算法，以及采集器成像算法的设计和软件实现。 除了通过出版物和互联网的标准途径传播成果外，该技术的室内和室外演示还将向行业和资助机构广泛宣传，以建立明确的技术转让路径。