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CSR: Large: Collaborative Research: Integrating Circuits, Sensing, and Software to Realize the Cubic-mm Computing Class

CSR: Large: Collaborative Research: Integrating Circuits, Sensing, and Software to Realize the Cubic-mm Computing Class
CSR:大型:协作研究:集成电路、传感和软件以实现立方毫米计算级别
批准号:
1111533
负责人:
Kenneth Stevens
金额:
$46.65万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-08-15 至 2017-07-31

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中文摘要
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英文摘要
Applications of wireless sensor nodes are evolving at a previously unimaginable rate. But current technology is limited because devices are bulky - measuring one cubic centimeter or more - and hampered by short lifetimes. This project is producing a one cubic millimeter sensor node. This ultra-miniaturized device is a complete sensing platform that includes transducers (for imaging, temperature sensing and other signal detection), wireless communication, a high accuracy timer, processor, memory, a battery and energy harvesting that provides the node with an extended lifetime.The central challenge in reducing the form factor for sensor nodes is to reduce power consumption and densely package discrete components (crystals, inductors, etc.). To this end, this team's innovations involve research and development of:1. A novel processor that operates at a supply voltage near the threshold voltage of the transistors for optimal energy consumption.2. A new ultra-low-leakage memory system.3. An Ultra Wide-Band (UWB) transmitter and receiver that can communicate with other nodes over a distance of three meters with an integrated antenna. 4. A 100pW timer that is temperature compensated and designed for reduced jitter to allow accurate synchronization between sensor nodes and enable short, low energy radio communication windows.5. A new CMOS imaging approach capable of ultra-low power motion detection and image-acquisition, and, reconfigurable to act as a solar energy harvesting unit. 6. An energy-aware software development environment to control the nodeThese PIs implemented early versions of several of these technologies in silicon, demonstrating the potential to package them as sensor nodes. The team's track record of producing ultra-low power circuits, and other sensing components, position them to deliver the needed 1000× form factor reduction. This research team will assemble and package 100 first- and second-generation of these sensor node platforms and disseminate them to the broader community for trials in a wide range of uses. The development of cubic-millimeter sensor nodes will enable applications that have long been envisioned but were unachievable. For example, sensory skins could cover surfaces with a dense deployment of nodes that monitor the properties of the manifold itself or its surroundings. Implantable intelligence can enable deeply embedded physical and biological processes, e.g., malignant tumor growth monitoring or intra-ocular pressure sensing to determine the risk for retinal detachment. Applications such as these, and a myriad of other "Thinking and Linking" applications, can give everyday objects sensing, computing, communication, and tracking ability, allowing, for example, research ranging from the social network patterns of small insects to asset tracking in dynamic environments like hospitals. By shrinking sensor node size to one cubic millimeter, with potentially perpetual lifetime, the concept of "smart dust" can be taken from fiction to reality.By disseminating the first generation of these sensors to members of the sensor network community, this project will dramatically accelerate the adoption of cubic-millimeter-class computing devices. This will have immediate impact on a wide array of research programs for intelligently sensing, tracking, measuring and optimizing physical processes. This research in turn will have a fundamental and long term impact on a diverse set of applications with critical societal import, ranging from energy conservation, environmental quality management, and health care.
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SHF: Small: Low Power System-on-Chip Circuits and CAD
  • 批准号:
    1218012
  • 项目类别:
    Standard Grant
  • 资助金额:
    $44.5万
  • 财政年份:
    2012
  • 负责人:
    Kenneth Stevens
  • 依托单位:
CPA-DA: Low Power Asynchronous Circuits from Traditional Clocked Verilog and ASIC CAD
  • 批准号:
    0810408
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.01万
  • 财政年份:
    2008
  • 负责人:
    Kenneth Stevens
  • 依托单位:
CPA: Collaborative Research: Formal Techniques for Designing Globally Asynchronous and Locally Synchronous Systems (FMGALS)
  • 批准号:
    0702539
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2007
  • 负责人:
    Kenneth Stevens
  • 依托单位:
U.S.-Germany Cooperative Research: Respiratory Correlates of Speech Variations and Applications to Speech Production Modeling
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  • 资助金额:
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量子自旋液体中拓扑拟粒子的性质:量子蒙特卡罗和新的large-N理论
  • 批准号:
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  • 项目类别:
    面上项目
  • 资助金额:
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  • 批准年份:
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  • 负责人:
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甘蓝型油菜Large Grain基因调控粒重的分子机制研究
  • 批准号:
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  • 项目类别:
    面上项目
  • 资助金额:
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  • 批准年份:
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  • 负责人:
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