II-NEW: RIBBN - A Research Infrastructure for Backscatter-Based Networks
II-新:RIBBN - 基于反向散射的网络的研究基础设施
基本信息
- 批准号:1405740
- 负责人:
- 金额:$ 49.95万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-07-01 至 2018-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The ?Internet of Things? (IoT) vision requires tiny, intelligent, battery-less devices communicating with one another. However, reliance on power-hungry, active radios for communications has been impeding progress in realizing this vision. The proposed research infrastructure enabled by this project is geared towards enabling a paradigm shift resulting in realization of systems wherein radio-less backscattering devices communicate directly with each other as opposed to an active radio based device (like in traditional reader-tag based RFID systems). This award helps design and develop the Research Infrastructure for Backscatter-Based Networks or RIBBN that responds to this need for an integrated experimental platform which is both flexible and programmable at every layer so that new protocols and systems can be developed and evaluated. Use of RIBBN should help researchers and manufacturers to adopt RIBBN-based evaluation in their workflow while developing new designs faster and at a lower cost, thereby helping RFIDs make more inroads in the marketplace. On the educational front, RIBBN hopes to contribute to courseware development, summer projects of local high school students, and the WISE (Women In Science & Engineering) program in the university. RIBBN is unique in that it enables experimental research on a new paradigm for future IoT systems by providing three essential capabilities in the same platform ? 1) backscatter-based tag-to-tag communication, 2) on-board sensing and 3) computational ability. RIBBN is developed as a modular as well as programmable platform. It enables a design and experimentation with new tag architectures and protocols in a unified, open, reference system. RIBBN promotes and enhances research in several areas including (1) development and evaluation of various protocols in both lower and upper layers, (2) power harvesting, (3) security and privacy issues in backscattered tag-to-tag communications, (4) relevant signal and information processing methods, and (5) Internet of Things. The proposed effort leads to a setup that we refer to as the RIBBN Lab, an organized testbed facility for conducting research on backscatter-based networks.
的?物联网?(IoT)视觉需要微型、智能、无电池的设备相互通信。然而,依赖耗电量大的有源无线电通信一直阻碍着实现这一愿景的进展。该项目所支持的拟议研究基础设施旨在实现一种范式转变,从而实现无线电反向散射设备直接相互通信的系统,而不是基于有源无线电的设备(如传统的基于阅读器标签的RFID系统)。该奖项有助于设计和开发基于后向散射的网络或RIBBN的研究基础设施,以满足对集成实验平台的需求,该平台在每一层都是灵活和可编程的,以便可以开发和评估新的协议和系统。RIBBN的使用将帮助研究人员和制造商在其工作流程中采用基于RIBBN的评估,同时以更快的速度和更低的成本开发新设计,从而帮助RFID在市场上取得更多的进展。在教育方面,RIBBN希望为课件开发、当地高中生的暑期项目和大学的WISE(女性科学工程)项目做出贡献。RIBBN的独特之处在于,它通过在同一平台上提供三种基本功能,为未来物联网系统的新范式提供了实验研究。1)基于反向散射的标签到标签通信,2)板上感测和3)计算能力。RIBBN是一个模块化和可编程的平台。它支持在统一、开放的参考系统中设计和实验新的标签架构和协议。RIBBN促进和加强了几个领域的研究,包括(1)开发和评估低层和上层的各种协议,(2)功率收集,(3)后向散射标签到标签通信中的安全和隐私问题,(4)相关信号和信息处理方法,以及(5)物联网。拟议的努力导致了我们称为RIBBN实验室的设置,这是一个有组织的测试平台设施,用于对基于后向散射的网络进行研究。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Samir Das其他文献
Research A Structural Equation Modeling (SEM) Approach to Explore the Association between Corporate Social Responsibility and Financial Performance: A Single Mediating Mechanism
研究结构方程模型(SEM)方法来探索企业社会责任与财务绩效之间的关联:单一中介机制
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Gazi Md. Shakhawat Hossain;M. S. Rahman;Samir Das - 通讯作者:
Samir Das
Integration of “omics” Data and Phenotypic Data Within a Unified Extensible Multimodal Framework
在统一的可扩展多模式框架内整合“组学”数据和表型数据
- DOI:
10.3389/fninf.2018.00091 - 发表时间:
2018 - 期刊:
- 影响因子:3.5
- 作者:
Samir Das;Xavier Lecours;Christine Rogers;C. Makowski;F. Chouinard;K. Klein;Natacha Beck;Pierre Rioux;Shawn T. Brown;Zia Mohaddes;C. Zweber;V. Foing;Marie Forest;K. O’Donnell;Joanne Clark;M. Meaney;C. Greenwood;Alan C. Evans - 通讯作者:
Alan C. Evans
NIDM-Results: Standardized reporting of mass univariate neuroimaging results in SPM, FSL and AFNI
NIDM-结果:SPM、FSL 和 AFNI 中大量单变量神经影像结果的标准化报告
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Camille Maumet;B. N. Nichols;G. Flandin;K. Helmer;T. Auer;Alexander Bowring;V. Sochat;Samir Das;T. Glatard;R. Reynolds;R. Cox;Gang Chen;M. Jenkinson;Matthew A. Webster;J. Steffener;Krzysztof J. Gorgolewski;J. Turner;Thomas E. Nichols;Satrajit S. Ghosh;J. Poline;D. Keator - 通讯作者:
D. Keator
Whole Genome Sequencing and Analysis of Mycobacteroides chelonae M77 Isolated from Cow Milk from the Hill State of Meghalaya, India
从印度梅加拉亚邦山区牛奶中分离的龟分枝杆菌 M77 的全基因组测序和分析
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0.5
- 作者:
E. Vise;S. Ghatak;A. Garg;A. Karam;C. Prasad;A. Milton;I. Shakuntala;K. Puro;R. Sanjukta;Abhik Sen;Samir Das - 通讯作者:
Samir Das
Creation of an Open Science Dataset from PREVENT-AD, a Longitudinal Cohort Study of Pre-symptomatic Alzheimer’s Disease
根据 PREVENT-AD 创建开放科学数据集,这是一项针对症状前阿尔茨海默病的纵向队列研究
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
J. Tremblay;C. Madjar;Samir Das;S. Dyke;P. Étienne;Marie;Pierre Bellec;D. Collins;M. Rajah;V. Bohbot;Jeannie;Y. Iturria;J. Kat;R. Hoge;S. Gauthier;M. Chakravarty;J. Poline;P. Rosa;S. Villeneuve;Alan C. Evans;J. Poirier;J. Breitner - 通讯作者:
J. Breitner
Samir Das的其他文献
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{{ truncateString('Samir Das', 18)}}的其他基金
QCIS-FF: Quantum Computing & Information Science Faculty Fellow at Stony Brook University
QCIS-FF:量子计算
- 批准号:
1954311 - 财政年份:2020
- 资助金额:
$ 49.95万 - 项目类别:
Continuing Grant
NeTS: Medium: Collaborative Research: Passive Network of Tags for Smart Spaces
NeTS:媒介:协作研究:智能空间的无源标签网络
- 批准号:
1763843 - 财政年份:2018
- 资助金额:
$ 49.95万 - 项目类别:
Continuing Grant
EARS: SpecSense: Bringing Spectrum Sensing to the Masses
EARS:SpecSense:将频谱传感带给大众
- 批准号:
1642965 - 财政年份:2016
- 资助金额:
$ 49.95万 - 项目类别:
Standard Grant
Collaborative Research: Measurement-Augmented Spectrum Databases for White Spaces
协作研究:空白空间的测量增强频谱数据库
- 批准号:
1443951 - 财政年份:2014
- 资助金额:
$ 49.95万 - 项目类别:
Standard Grant
EAGER: Designing Programmable and Versatile Tags for Backscatter Networks
EAGER:为反向散射网络设计可编程多功能标签
- 批准号:
1354614 - 财政年份:2013
- 资助金额:
$ 49.95万 - 项目类别:
Standard Grant
NeTS: Small: Collaborative Research: Understanding Traffic Dynamics in Cellular Data Networks and Applications to Resource Management
NetS:小型:协作研究:了解蜂窝数据网络中的流量动态和资源管理应用
- 批准号:
1117719 - 财政年份:2011
- 资助金额:
$ 49.95万 - 项目类别:
Standard Grant
Collaborative Research: NECO: A Market-Driven Approach to Dynamic Spectrum Sharing
合作研究:NECO:市场驱动的动态频谱共享方法
- 批准号:
0831791 - 财政年份:2008
- 资助金额:
$ 49.95万 - 项目类别:
Continuing Grant
NeTS-WN: Collaborative Research: A Measurement-Driven Physical-Interference-Based Approach for the Design of Mesh Networks
NeTS-WN:协作研究:一种基于测量驱动、基于物理干扰的网状网络设计方法
- 批准号:
0721455 - 财政年份:2007
- 资助金额:
$ 49.95万 - 项目类别:
Standard Grant
Collaborative Research: NeTS-NOSS: RFID-Based Sensor Networks: Exploiting Diversity and Redundancy
合作研究:NetS-NOSS:基于 RFID 的传感器网络:利用多样性和冗余
- 批准号:
0519734 - 财政年份:2005
- 资助金额:
$ 49.95万 - 项目类别:
Standard Grant
U.S.-India Cooperative Research: Multichannel Multihop Wireless LANs for Rapid Deployment
美印合作研究:用于快速部署的多通道多跳无线局域网
- 批准号:
0423460 - 财政年份:2004
- 资助金额:
$ 49.95万 - 项目类别:
Standard Grant
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