CAREER: Long-Range Near Field Communication for Ultra-Dense Internet of Things

职业：超密集物联网的远距离近场通信

• 批准号: 2145936
• 负责人: Hongzhi Guo
• 金额: $ 49.93万
• 依托单位: Norfolk State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2145936&HistoricalAwards=false
• 关键词: CAREER; Long; Range; Near; Field

The Internet of Things (IoT) can improve the quality of life by connecting everyday things and providing essential information for intelligent management of our daily life. However, the deployment of ultra-dense IoT devices is constrained by the spectrum scarcity. The Near Field Communication (NFC) using high-frequency (HF) band magnetic signals has a short communication range which generates negligible interference with existing wireless applications. Also, NFC signals can efficiently penetrate through various materials and provide a reliable communication channel. Nowadays, NFC tags have been used in retail, medical, clothing industry, and agriculture among others. However, due to the limited communication range, these tags are usually scanned manually, which cannot support automatic IoT applications. This project aims to develop a long-range NFC system that can read ultra-dense NFC tags autonomously using mobile robots. Localization and various sensing algorithms will be designed to fully leverage the potential of ubiquitous NFC tags to improve the quality of life and working efficiency. This project also supports education by integrating research activities with existing undergraduate and graduate curricula at Norfolk State University, which is one of the Historically Black Colleges and Universities (HBCUs), and sharing research outcomes and outreach materials with other Minority-Serving Institutions (MSIs) in the Inclusive Engineering Consortium. The following four research directions will be pursued to achieve the objective of developing a framework for ultra-dense IoT with networking, sensing, and localization capabilities. First, this project will design long-range NFC readers using coil arrays, self-interference cancellation, and magnetic blind beamforming to extend the communication range of existing NFC systems. The existence of high-permittivity and high-conductivity materials that are close to the reader or tags will be considered, and their impacts on wireless communication performance will be studied. Second, anti-collision protocols for strongly coupled tags will be designed. The Orientation Division Multiple Access will be developed and analyzed to allow multiple NFC tags to access the wireless channel and reduce the misreading ratio. Third, tag orientation sensing and localization algorithms will be developed under the constraints of tag coupling and random orientation. Last, the security and privacy issues created by the long communication range will also be considered and addressed by developing near field secure transmission strategies. Reconfigurable testbeds will be developed to verify the proposed approaches.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.

物联网（IoT）可以通过连接日常事物并为我们的日常生活提供智能管理所需的基本信息来提高生活质量。然而，超密集物联网设备的部署受到频谱稀缺的限制。使用高频（HF）带磁信号的近场通信（NFC）具有短的通信范围，其对现有无线应用产生可忽略的干扰。此外，NFC信号可以有效地穿透各种材料，并提供可靠的通信信道。如今，NFC标签已被用于零售、医疗、服装业和农业等领域。但是，由于通信范围有限，这些标签通常是手动扫描的，无法支持自动物联网应用。该项目旨在开发一种远程NFC系统，该系统可以使用移动的机器人自主读取超密集的NFC标签。定位和各种传感算法将被设计为充分利用无处不在的NFC标签的潜力，以提高生活质量和工作效率。该项目还通过将研究活动与诺福克州立大学现有的本科和研究生课程相结合来支持教育，该大学是历史上的黑人学院和大学之一，并与包容性工程联盟中的其他少数民族服务机构分享研究成果和宣传材料。 将致力于以下四个研究方向，以实现开发具有网络、传感和定位功能的超密集物联网框架的目标。首先，该项目将设计使用线圈阵列、自干扰消除和磁盲波束形成的远距离NFC读取器，以扩展现有NFC系统的通信范围。将考虑靠近阅读器或标签的高介电常数和高导电性材料的存在，并研究其对无线通信性能的影响。其次，设计了强耦合标签的防碰撞协议。将开发和分析方向划分多址接入，以允许多个NFC标签接入无线信道并降低误读率。第三，在标签耦合和随机定向的约束下，开发标签定向感知和定位算法。最后，长距离通信所产生的安全和隐私问题也将通过开发近场安全传输策略来考虑和解决。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。