NeTS: Small: Collaborative Research: Low-cost, Convenient, Non-intrusive Methods for Enabling the Internet of Things

NetS：小型：协作研究：实现物联网的低成本、便捷、非侵入性方法

• 批准号: 1717948
• 负责人: Chen Qian
• 金额: $ 25万
• 依托单位: University of California-Santa Cruz
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-15 至 2021-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1717948&HistoricalAwards=false
• 关键词: NeTS; Small; Collaborative; Research; Low

The Internet of things (IoT) has been gaining momentum in both industry and academic communities. From phones to smart phones, from electricity meters to smart meters, from cars to connected vehicles, new products have been developed with enhanced capabilities in data communications, sensing, and information exchange, thanks to rapid advance in embedded systems and sensor networks, which integrate miniaturized computing devices with the target objects. However, this approach of replacing old products with new designs can be expensive and sometimes inconvenient. The extra cost and deployment time of IoT devices have become a barrier for the adoption of IoT technologies. The proposed project will develop alternative IoT-enabling technologies that are easily deployable through tagging the objects or their environment. Such low-cost, convenient, non-intrusive methods hold great potential in making significant practical impact and expediting IoT deployment without redesigning and replacing the products already in use. The project also offers an interesting education platform for student training, undergraduate research participation, and outreach activities in the IoT domain.The goal of this proposal is to provide an alternative, convenient and non-intrusive approach that is capable of turning a vast number of existing objects in the world, without redesign, into semi-smart objects for some of the benefits promised by the IoT vision. The proposed project focuses on low-cost methods that attach RFID tags to objects or place tags in the objects' environment. It exploits the rich information embedded in the physical-layer signals from tags, such as phase, amplitude, polarization, waveform, and coupling effect to support IoT applications. The proposed research consists of two major thrusts. The first thrust investigates the IoT functions where objects are tagged. Based on the physical-layer properties of the signals transmitted from individual tags, these functions will determine the properties of the tags' carriers, including their orientations, locations, speeds, spacing, trajectories, oscillation rates, etc. The second thrust investigates the IoT functions where the objects' environment is tagged. Based on the joint physical-layer properties from a set of tags, these functions will perform object trajectory tracking and hidden content inspection in a non-intrusive manner.

物联网 (IoT) 在工业界和学术界都取得了蓬勃发展的势头。从电话到智能手机，从电表到智能电表，从汽车到车联网，随着嵌入式系统和传感器网络的快速发展，新产品不断开发，在数据通信、传感和信息交换方面的能力得到增强。具有目标对象的微型计算设备。然而，这种用新设计替换旧产品的方法可能成本高昂，有时也不方便。物联网设备的额外成本和部署时间已成为采用物联网技术的障碍。拟议的项目将开发替代的物联网支持技术，这些技术可以通过标记对象或其环境来轻松部署。这种低成本、便捷、非侵入性的方法在产生重大实际影响和加速物联网部署方面具有巨大潜力，而无需重新设计和更换已在使用的产品。该项目还为物联网领域的学生培训、本科生研究参与和推广活动提供了一个有趣的教育平台。该提案的目标是提供一种替代的、方便的、非侵入性的方法，能够使大量的世界上现有的物体无需重新设计即可变成半智能物体，以获得物联网愿景所承诺的一些好处。拟议项目重点关注将 RFID 标签附加到物体上或将标签放置在物体环境中的低成本方法。它利用标签物理层信号中嵌入的丰富信息（例如相位、幅度、偏振、波形和耦合效应）来支持物联网应用。拟议的研究包括两个主要方向。第一个重点研究了标记对象的物联网功能。根据各个标签传输的信号的物理层属性，这些函数将确定标签载体的属性，包括它们的方向、位置、速度、间距、轨迹、振荡速率等。第二个重点研究物联网标记对象环境的函数。基于一组标签的联合物理层属性，这些功能将以非侵入方式执行对象轨迹跟踪和隐藏内容检查。

项目成果

TagAttention: Mobile Object Tracing With Zero Appearance Knowledge by Vision-RFID Fusion

• DOI: 10.1109/tnet.2021.3052805
• 发表时间: 2021-04-01
• 期刊: IEEE-ACM TRANSACTIONS ON NETWORKING
• 影响因子: 3.7
• 作者: Shi，Xiaofeng;Cai，Haofan;Qian，Chen
• 通讯作者: Qian，Chen

Trio: Utilizing Tag Interference for Refined Localization of Passive RFID

• DOI: 10.1109/infocom.2018.8486313
• 发表时间: 2018-04
• 期刊: IEEE INFOCOM 2018 - IEEE Conference on Computer Communications
• 作者: H. Ding;Jinsong Han;Chen Qian;Fu Xiao;Ge Wang;Nan Yang;Wei Xi;Jian Xiao

VERID: towards verifiable IoT data management

• DOI: 10.1145/3302505.3310074
• 发表时间: 2019-04
• 期刊: Proceedings of the International Conference on Internet of Things Design and Implementation
• 作者: Xin Li;Minmei Wang;Shouqian Shi;Chen Qian

SDLB: A Scalable and Dynamic Software Load Balancer for Fog and Mobile Edge Computing

• DOI: 10.1145/3098208.3098218
• 发表时间: 2017-08
• 期刊: Proceedings of the Workshop on Mobile Edge Communications
• 作者: Ye Yu;Xin Li;Chen Qian

SDN-Based Privacy Preserving Cross Domain Routing

• DOI: 10.1109/tdsc.2018.2811807
• 发表时间: 2019-11
• 期刊: IEEE Transactions on Dependable and Secure Computing
• 影响因子: 7.3
• 作者: Qingjun Chen;Shouqian Shi;Xin Li;Chen Qian;Sheng Zhong