CIF: Large: Sensing Sensors: Compressed sampling with Co-design of Hardware and Algorithms Across Multiple Layers in Wireless Sensor Networks

该研究计划将开发和演示在无线连接的传感器网络中有效收集，传输和处理信息的理论和技术。这项基础研究旨在开发一种革命性的无线传感器节点，该节点针对基础设施监测进行了优化，并具有超低功耗的特点。功耗、安装复杂性和安装成本是无线基础设施监测广泛部署的重要瓶颈，本研究将解决这些问题。该研究计划通过在传感、物理通信和网络通信中使用压缩采样，并通过硬件和算法的协同设计来提高能源效率和电池寿命。压缩采样技术将被开发，以减少传感器需要采取的样本数量，优化传感节点的位置，并尽量减少传感节点传输的数据量。这项研究将开发新的理论方法，信号采样，超宽带（UWB）无线通信的采集信息，传感器网络的体系结构和协议。新的理论和算法的发展将与新的电路技术的发展齐头并进。本研究将发展新的类比数位转换及无线通讯的积体电路技术，并将成立一个压缩感测结构健康监测中心，以扩大本研究的影响。该方案教育部分的范围针对小学、本科和研究生。将创建数学、土木工程和电气工程课程的跨学科课程。该中心还将制定一项广泛的外展教育计划。

This research program will develop and demonstrate theory and techniques for efficient collection, transmission and processing of information in wirelessly-connected sensor networks. This fundamental research is aimed towards development of a revolutionary wireless sensor node, optimized for infrastructure monitoring, and characterized by ultra-low power consumption. Power consumption, installation complexity and installation cost are significant bottlenecks to the widespread deployment of wireless infrastructure monitoring that will be addressed by this research. This research program improves energy efficiency and battery lifetime through the use of compressed sampling in sensing, physical communication and network communication and through the co-design of hardware and algorithms.A theme of the research is the development of compressive sampling techniques. Compressive sampling techniques will be developed to reduce the number of samples that need to taken by sensors, to optimize the placement of sensing nodes, and to minimize the amount of data transmitted by the sensing nodes. This research will develop new theoretical approaches to signal sampling, to ultra-wideband (UWB) wireless communication of acquired information, and to sensor network architecture and protocols. Development of new theory and algorithms will go hand-in-hand with the development of new circuit techniques. New integrated circuit techniques for analog-to-digital conversion and wireless communication will be developed.A Center for Structural Health Monitoring through Compressed Sensing will be formed to broaden the impact of this research. The scope of the education component of this program targets grade-school, undergraduate and graduate students. An interdisciplinary curriculum of courses in Math, Civil Engineering and Electrical Engineering will be created. The center will also develop an extensive outreach education program.