
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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Initial Amendment Date: | August 8, 2011 |
Latest Amendment Date: | July 28, 2015 |
Award Number: | 1111541 |
Award Instrument: | Continuing Grant |
Program Manager: |
Marilyn McClure
mmcclure@nsf.gov (703)292-5197 CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | August 15, 2011 |
End Date: | July 31, 2017 (Estimated) |
Total Intended Award Amount: | $2,533,000.00 |
Total Awarded Amount to Date: | $2,573,800.00 |
Funds Obligated to Date: |
FY 2012 = $627,549.00 FY 2013 = $558,495.00 FY 2014 = $614,290.00 FY 2015 = $217,242.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
1109 GEDDES AVE STE 3300 ANN ARBOR MI US 48109-1015 (734)763-6438 |
Sponsor Congressional District: |
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Primary Place of Performance: |
1109 GEDDES AVE STE 3300 ANN ARBOR MI US 48109-1015 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
CSR-Computer Systems Research, Physiol Mechs & Biomechanics |
Primary Program Source: |
01001213DB NSF RESEARCH & RELATED ACTIVIT 01001314DB NSF RESEARCH & RELATED ACTIVIT 01001415DB NSF RESEARCH & RELATED ACTIVIT 01001516DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070 |
ABSTRACT
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 node
These 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.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The goal of this 5-year program was to develop a sensing platform with transducers (i.e. imaging, temperature sensing), wireless communication, high accuracy timer, processor, memory, battery and energy harvesting, in a 1mm3 volume. Wireless sensor nodes are popular, but are limited to bulky devices that measure 1cm3 or larger and are hampered by short lifetimes. Based on our established track record of ultra-low power circuits, system integration, and dissemination, we are ideally positioned to deliver the needed 1000× form factor reduction and shrink sensor node size to 1mm3 with potentially perpetual lifetime, thereby taking the “smart dust” concept from fiction to reality. Over the course of this program, the PIs have demonstrated:
- A Modular 1mm3 Die-Stacked Sensing Platform with Optical Communication and Multi-Modal Energy Harvesting
- A 10mm3 Syringe-Implantable Near-Field Radio System on Glass Substrate
- A 3×3×3mm3 wireless sensor with 915MHz asymmetric radio with 20m non-line-of-sight communication
- A 6×5×4mm3 General Purpose Audio Sensor Node with a 4.7μW Audio Processing IC
- A 1 Cubic Millimeter Energy-Autonomous Wireless Intraocular Pressure Monitor
This work has laid the foundation upon which many derivative mm-scale sensing systems can be built, produced many dozens of papers and patents, produced a startup company, impacted dozens of graduate and undergraduate students, and ushered in an era of mm-scale computing.
The development and dissemination of cubic-mm sensor nodes will enable some of the applications that have long been envisioned for sensor networks. For instance, sensory skins could cover surfaces with a dense deployment of nodes that monitor the properties of the manifold itself or its surroundings. This would allow detection and tracking of movement or measuring indoor temperature or light for more intelligent temperature control. Thinking and linking applications can give everyday objects sensing, computing, communication, and tracking ability, allowing, for instance research into the social network patterns of small insects like bees or roaches or asset tracking in dynamic environments like hospitals. Finally, implantable intelligence gives visibility and voice to deeply embedded physical and biological processes, e.g, malignent tumor growth monitoring or intra-ocular pressure sensing to determine the risk for retinal detachment.
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Last Modified: 12/22/2017
Modified by: David Wentzloff
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