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
• 负责人: Samir Das
• 金额: $ 80万
• 依托单位: SUNY at Stony Brook
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1763843&HistoricalAwards=false
• 关键词: NeTS; Medium; Collaborative; Research; Passive

We envision a future where all objects in spaces around us will be tagged with miniature battery-less radio frequency-powered tags. Such tags will be able to autonomously interact among themselves and the surrounding environment. They will be able to communicate over low-power wireless links without the need for an active on-board radio or any centralized control. These interactions will enable "Smart Spaces" wherein objects can collaboratively perceive the surrounding spaces and recognize other objects, their relationships and dynamic activities involving them. Due to their exceptionally low-power design the tags communicate via intelligent reflection or backscattering of the same radio frequency signal that powers them. The proposed project envisions the "Passive Network of Tags" (PNET) paradigm, where tags are able to network among themselves and are able to operate in varying degrees of radio frequency power availability. PNET will form the foundational technology for smart spaces enabling object identification and tracking, understanding inter-object interactions and associations, sensing and distributed processing of information to support futuristic higher level applications.The project involves innovative research across various sub-disciplines in order to make the proposed PNET for smart spaces a reality. The proposed project will develop: 1) An adaptive energy-aware tag architecture that will allow for high efficiency of energy harvesting along with increased sensitivity and robustness of the tag- to-tag link; 2) Techniques for measurement of channel amplitude and phase in passive receiver tags which will empower the PNET with the ability to detect dynamic interactions between tags as well as events around the tags; 3) Scalable and adaptable distributed multi-hop routing for diverse PNET-specific topologies and novel solutions for making inference under stressful network, system and signal conditions; and 4) A set of tags implemented on a custom hardware platform that will embody the research results and will allow for experiments and demonstrations in a real-world smart home setup.The broader impact of the project will include the following: 1) The investigators will develop educational and training materials for the broader research community. 2) The researchers will work with programs at their respective universities to encourage women's participation in Science, Technology, Engineering, and Mathematics (STEM) programs, specifically contributing to their curriculum and encouraging K-12 students to pursue careers in STEM. 3) The project will contribute to curriculum development and undergraduate research in both universities.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.

我们设想未来，我们周围空间的所有物体都将被贴上微型无电池射频供电标签。这样的标签将能够自主地在它们自己和周围环境之间进行交互。它们将能够通过低功率无线链路进行通信，而不需要主动机载无线电或任何集中控制。这些交互将实现“智能空间”，其中物体可以协同感知周围空间并识别其他物体、它们之间的关系以及涉及它们的动态活动。由于其超低功耗的设计，这些标签通过智能反射或反向散射相同的射频信号进行通信。拟议的项目设想了“无源标签网络”（PNET）范例，其中标签能够彼此联网，并能够在不同程度的射频功率可用性下运行。PNET将形成智能空间的基础技术，实现目标识别和跟踪，理解目标间的交互和关联，感知和分布式信息处理，以支持未来的高级应用。该项目涉及多个分支学科的创新研究，以使拟议的智能空间PNET成为现实。拟议的项目将开发：1)自适应能量感知标签架构，该架构将允许高效的能量收集，同时增加标签到标签链接的灵敏度和鲁棒性；2)被动接收器标签中信道幅度和相位的测量技术，这将使PNET能够检测标签之间的动态相互作用以及标签周围的事件；3)针对各种pnet特定拓扑的可扩展和自适应分布式多跳路由，以及在压力网络、系统和信号条件下进行推理的新解决方案；4)在定制硬件平台上实现的一组标签，将体现研究成果，并允许在现实世界的智能家居设置中进行实验和演示。该项目的广泛影响将包括以下方面：1)研究人员将为更广泛的研究界编写教育和培训材料。2)研究人员将与各自大学的项目合作，鼓励女性参与科学、技术、工程和数学（STEM）项目，特别是为他们的课程做出贡献，并鼓励K-12学生从事STEM领域的职业。3)该项目将有助于两所大学的课程开发和本科研究。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Study of mm-sized Coil to Coil Backscatter Based Communication Link

基于毫米级线圈到线圈反向散射通信链路的研究

• DOI: 10.1109/uemcon47517.2019.8992985
• 发表时间: 2019
• 期刊: Electronics & Mobile Communication Conference (UEMCON
• 作者: Sha, Xiao;Karimi, Yasha;Das, Samir R.;Djuric, Petar;Stanacevic, Milutin
• 通讯作者: Stanacevic, Milutin

Amplitude and Phase Estimation of Backscatter Tag-to-Tag Channel

标签间反向散射信道的幅度和相位估计

• DOI: 10.1109/iscas48785.2022.9937436
• 发表时间: 2022
• 期刊: 2022 IEEE International Symposium on Circuits and Systems (ISCAS
• 作者: Ahmad, Abeer;Sha, Xiao;Athalye, Akshay;Das, Samir;Djuric, Petar;Stanacevic, Milutin
• 通讯作者: Stanacevic, Milutin

High Sensitivity Near-zero Power Wakeup Receiver for Backscattering RF Tags

用于反向散射射频标签的高灵敏度近零功耗唤醒接收器

• DOI: 10.1109/iscas48785.2022.9937291
• 发表时间: 2022
• 期刊: 2022 IEEE International Symposium on Circuits and Systems (ISCAS
• 作者: Sha, Xiao;Zheng, Puyang;Stanacevic, Milutin
• 通讯作者: Stanacevic, Milutin

Passive Wireless Channel Estimation in RF Tag Network

• DOI: 10.1109/iscas.2019.8702681
• 发表时间: 2019-05
• 期刊: 2019 IEEE International Symposium on Circuits and Systems (ISCAS)
• 作者: Yasha Karimi;Yuanfei Huang;A. Athalye;Samir R Das;P. Djurić;M. Stanaćević

Enabling Passive Backscatter Tag Localization Without Active Receivers

• DOI: 10.1145/3485730.3485950
• 发表时间: 2021-11
• 期刊: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems
• 作者: A. Ahmad;Xiao Sha;M. Stanaćević;A. Athalye;P. Djurić;Samir R Das