Collaborative Research ITR:Energy-efficiency and reliability in dense sensor networks

合作研究ITR：密集传感器网络的能源效率和可靠性

• 批准号: 0219735
• 负责人: Sandeep Sadanandarao
• 金额: $ 21万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-01 至 2005-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0219735&HistoricalAwards=false
• 关键词: Collaborative; Research; ITR; Energy; efficiency

Sandeep SandanandaraoU of MichiganThis proposal addresses some important components in the theoretical and algorithmic signal processing machinery needed to make low-power, ubiquitous sensor networks a reality. The physical and hardware attributes as well as the computing and communication capabilities of these low-power, low-cost sensors, particularly those based on high-density MEMS devices, have the potential to revolutionize next-generation information technology. Indeed, next-generation MEMs sensors are expected to be very cheap and very small (of the order of one millimeter cube) with a communication range of several hundred meters and a bandwidth of tens to hundreds of kilobits per second. The challenge is to build a pervasive, reliable, mas-sively distributed, dynamically self-conguring dense sensor network system out of these low-cost, ubiquitous devices. While the hardware and computational infrastructure are following Moore's law, the system-level expertise in terms of both theoretical and algorithmic knowledge-base needed to fully harness the potential of this infrastructure is sadly lagging behind. The challenges presented by these networks are far beyond existing theories and algorithms, and in many cases require a fundamental paradigm shift from centralized to distributed architectures. This proposal is accordingly motivated at developing some important components of the signal processing and communication system machinery needed to make this dream a reality.

密歇根州的桑迪普·桑达南达拉奥 (Sandeep Sandanandarao) 该提案解决了使低功耗、无处不在的传感器网络成为现实所需的理论和算法信号处理机制中的一些重要组成部分。这些低功耗、低成本传感器的物理和硬件属性以及计算和通信能力，特别是那些基于高密度MEMS设备的传感器，有可能彻底改变下一代信息技术。事实上，下一代 MEM 传感器预计将非常便宜且非常小（一毫米立方的数量级），通信范围为数百米，带宽为每秒数十至数百千比特。面临的挑战是利用这些低成本、无处不在的设备构建一个普遍、可靠、大规模分布、动态自配置的密集传感器网络系统。虽然硬件和计算基础设施遵循摩尔定律，但充分利用该基础设施潜力所需的理论和算法知识库方面的系统级专业知识却严重滞后。这些网络带来的挑战远远超出了现有的理论和算法，并且在许多情况下需要从集中式架构到分布式架构的根本范式转变。因此，该提案旨在开发使这一梦想成为现实所需的信号处理和通信系统机械的一些重要组件。