课题基金 / 基金详情

CRI:CI:SUSTAIN: Next-Generation, Sustainable Infrastructure for the RF-Powered Computing Community

CRI:CI:SUSTAIN: Next-Generation, Sustainable Infrastructure for the RF-Powered Computing Community
CRI:CI:SUSTAIN:射频驱动计算社区的下一代可持续基础设施
批准号:
1823148
负责人:
Joshua Smith
金额:
$98.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2023-09-30

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中文摘要
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英文摘要
The energy efficiency of microelectronics has been improving exponentially for decades. It is becoming possible to operate low power sensing, computing and communication platforms in a perpetual, battery-free fashion, with all power provided by Radio Frequency (RF) signals or other energy harvesting. The Wireless Identification and Sensing Platform (WISP) is an open source battery-free platform that the present investigators originally introduced in 2006. Hundreds of WISPs have been manufactured and distributed to researchers around the world. This infrastructure has enabled research in diverse areas of computer science, including networking, Human-Computer Interaction, Ubiquitous Computing, Robotics, and other areas. The present proposal will allow the researchers to integrate the latest research results, such as Ambient Backscatter Communication, into the WISP family, and also to reap the benefits of the most recent improvements in low power microelectronics. The proposal will allow us to produce a new generation of the infrastructure and mature it to the point that it becomes self sustaining, via sales of hardware or other means. We expect that the sustained infrastructure will support research in backscatter communication, low power systems and networking, and applications of ultra-low-power platforms. Battery-free sensing systems are expected to enable a wide array of new capabilities, which will generate substantial commercial impact in a wide variety of markets.Computing is becoming connected more and more deeply to the physical world, a transformation that can enable smart environments, better medical care, more efficient manufacturing, and more. However, the need to power physically embedded microelectronic systems is a key challenge. This project will allow us to sustain the WISP infrastructure for battery-free, RF-powered computing and communication. The infrastructure will enable research in several areas. In recent years, the PI and co-PI introduced Ambient Backscatter Communication, and backscatter-based WISP cameras, which have been widely recognized in the research community. Making these tools widely available will enable research on topics such as (ambient) backscatter networking, applications of battery-free cameras, and algorithms for interactive compression and computer vision in battery-free camera systems. This research would likely remain inaccessible for a long time to many computer and information science and engineering researchers, since there are no widely accessible platforms that support research on these topics. The sustained infrastructure will also enable novel application research, in areas such as improved human activity detection systems, battery-free input devices, and also research on body-implanted electronics, and long term structural health monitoring.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(12)
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会议论文
Battery-Free Wireless Video Streaming Camera System
无电池无线视频流摄像系统
DOI: 10.1109/rfid.2019.8719264
发表时间: 2019
期刊: 2019 IEEE International Conference on RFID (RFID
影响因子: --
作者: [Saffari, Ali, Hessar, Mehrdad, Naderiparizi, Saman, Smith, Joshua R.]
通讯作者: Smith, Joshua R.
DOI: --
发表时间: 2019-07
期刊:
影响因子: --
作者: [Mehrdad Hessar;A. Najafi;Vikram Iyer;Shyamnath Gollakota]
通讯作者: Mehrdad Hessar;A. Najafi;Vikram Iyer;Shyamnath Gollakota
DOI: 10.1109/rfid49298.2020.9244826
发表时间: 2020-09
期刊: 2020 IEEE International Conference on RFID (RFID)
影响因子: --
作者: [Mohamad Katanbaf;Ali Saffari;Joshua R. Smith]
通讯作者: Mohamad Katanbaf;Ali Saffari;Joshua R. Smith
DOI: 10.1145/3469116.3470013
发表时间: 2021-06
期刊: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning
影响因子: --
作者: [Ali Saffari;Sin Yong Tan;Mohamad Katanbaf;Homagni Saha;Joshua R. Smith;S. Sarkar]
通讯作者: Ali Saffari;Sin Yong Tan;Mohamad Katanbaf;Homagni Saha;Joshua R. Smith;S. Sarkar
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