CCRI: Medium: Collaborative Research: Hardware-in-the-Loop and Remotely-Accessible/Configurable/Programmable Internet of Things (IoT) Testbeds

CCRI：媒介：协作研究：硬件在环和远程访问/可配置/可编程物联网 (IoT) 测试平台

• 批准号: 2204785
• 负责人: Xiaojiang Du
• 金额: $ 70万
• 依托单位: Stevens Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2204785&HistoricalAwards=false
• 关键词: CCRI; Medium; Collaborative; Research; Hardware

Internet of Things (IoT) devices and systems have a lot of applications, such as smart home, smart office, healthcare, elderly care, and industrial systems. International Data Corporation (IDC) report shows that over 815 million smart home IoT devices were shipped in 2019 and predicts that this number will reach 1.39 billion in 2023. There has been extensive research on IoT and related areas. However, most existing IoT research uses small-scale, ad hoc and non-realistic testbeds or simulation tools to generate data and/or evaluate their work. The U.S. IoT research community lacks high-fidelity experimental facilities to support rigorous and repeatable experimental evaluations of networked IoT systems. The objective of this project is to address the critical issue by developing an integrated IoT infrastructure that provides remotely accessible, configurable, and programmable IoT testbeds. The infrastructure is the first realistic large-scale one, and it includes a smart-home & IoT hardware testbed, a smart heath care testbed, and a smart-office IoT testbed. The testbeds will enable novel and high-quality research in many areas, such as hardware design, IoT, healthcare, elderly care, smart home/office, smart city, etc. This project will engage a broad community (including academia, industry, and government) in the design, development and management of the infrastructure. The project will integrate research with curriculum development, and broaden participation of computing by including underrepresented students and the K-12 community. Shared, remotely accessible, configurable, programmable, and observable IoT testbeds are in great need for researchers at different organizations to experiment and test their work at scale. This project addresses the critical issue by developing an integrated IoT infrastructure. The infrastructure includes three remotely accessible, configurable, and programmable IoT testbeds using one uniform interface: a smart-home & IoT hardware testbed, a smart heath care testbed, and a smart-office IoT testbed. Each testbed consists of several remotely-controllable/programmable robots (to emulate human activities), a large number of smart IoT devices, and an IoT edge server (to store and process IoT data locally. The smart-home & IoT hardware testbed also includes FPGA boards and a high-end mixed-signal oscilloscope, for developing the capabilities to interface with robots and IoT devices, and override their control as needed to further customize their functions. In this project, the team will develop hardware and software (e.g., smart IoT applications (apps), IoT management software, and web interfaces) to grant these off-the-shell IoT devices such remote access features. The proposed infrastructure will enable many new CISE research opportunities, such as remote hardware design and evaluation, configurable IoT hardware test, IoT research based on realistic testbeds and real IoT data, and efficient healthcare and elderly care utilizing smart IoT. With the three IoT testbeds, for the first time the broad research communities (such as hardware design, IoT, healthcare, elderly care, and smart home/office) will be able to generate, access and collect real data, as well as instrument and run experiments using real devices. This project will enable, extend and accelerate high-quality research in the broad areas, and contribute to bringing different communities together. The proposed infrastructure will enable a number of new CISE research opportunities and support high-fidelity research in healthcare, elderly care, smart home/office, IoT, hardware design, etc. (2) This project will engage a broad community (including academia, industry, and government). (3) The project will integrate the infrastructure development and the supported research into their curriculum development. This proposed project will directly foster new research and educational opportunities at Temple University, and two EPSCoR institutions (University of Arkansas and University of South Carolina). (4) The PIs will engage students of underrepresented groups and the K-12 community into this project. (5) In addition to publications, the PIs will create a publicly-accessible GitHub repository to share the project results.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）设备和系统有很多应用，例如智能家居、智能办公、医疗保健、养老和工业系统。国际数据公司（IDC）报告显示，2019年智能家居物联网设备出货量超过8.15亿台，预计2023年这一数字将达到13.9亿台。人们对物联网及相关领域进行了广泛的研究。然而，大多数现有的物联网研究使用小规模、临时和不切实际的测试台或模拟工具来生成数据和/或评估其工作。美国物联网研究界缺乏高保真实验设施来支持对联网物联网系统进行严格且可重复的实验评估。该项目的目标是通过开发集成的物联网基础设施来解决关键问题，该基础设施提供可远程访问、可配置和可编程的物联网测试台。该基础设施是第一个现实的大规模基础设施，包括智能家居和物联网硬件测试台、智能医疗测试台和智能办公物联网测试台。这些测试平台将在硬件设计、物联网、医疗保健、老年护理、智能家居/办公室、智慧城市等许多领域实现新颖、高质量的研究。该项目将吸引广泛的社区（包括学术界、工业界和商业界）参与。政府）参与基础设施的设计、开发和管理。该项目将把研究与课程开发结合起来，并通过纳入代表性不足的学生和 K-12 社区来扩大计算机的参与。不同组织的研究人员非常需要共享、远程访问、可配置、可编程和可观察的物联网测试平台来大规模实验和测试他们的工作。该项目通过开发集成的物联网基础设施来解决这一关键问题。该基础设施包括三个使用统一接口的可远程访问、可配置和可编程的物联网测试台：智能家居和物联网硬件测试台、智能医疗保健测试台和智能办公室物联网测试台。每个测试床由多个远程控制/可编程机器人（模拟人类活动）、大量智能物联网设备和物联网边缘服务器（用于在本地存储和处理物联网数据。智能家居和物联网硬件测试床还包括FPGA 板和高端混合信号示波器，用于开发与机器人和物联网设备连接的功能，并根据需要覆盖其控制以进一步定制其功能。在该项目中，该团队将开发硬件和软件（例如，聪明的物联网应用程序（应用程序）、物联网管理软件和网络界面）为这些现成的物联网设备提供远程访问功能。拟议的基础设施将带来许多新的 CISE 研究机会，例如远程硬件设计和评估、可配置物联网。硬件测试，基于真实测试平台和真实物联网数据的物联网研究，以及利用智能物联网的高效医疗保健和养老护理通过三个物联网测试平台，首次广泛的研究界（如硬件设计、物联网、医疗保健、养老）。 ，以及智能家居/办公室）将能够生成、访问和收集真实数据，以及使用真实设备检测和运行实验。该项目将促进、扩展和加速广泛领域的高质量研究，并有助于将不同社区聚集在一起。拟议的基础设施将带来许多新的 CISE 研究机会，并支持医疗保健、老年护理、智能家居/办公室、物联网、硬件设计等领域的高保真研究。 (2) 该项目将吸引广泛的社区（包括学术界、行业和政府）。 (3) 该项目将把基础设施​​发展和支持的研究纳入课程开发。该拟议项目将直接促进天普大学和两所 EPSCoR 机构（阿肯色大学和南卡罗来纳大学）的新研究和教育机会。 (4) PI 将让代表性不足群体的学生和 K-12 社区参与该项目。 (5) 除了出版物之外，PI 将创建一个可公开访问的 GitHub 存储库来共享项目结果。该奖项反映了 NSF 的法定使命，并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，认为值得支持。

项目成果

Effective Anomaly Detection in Smart Home by Integrating Event Time Intervals

通过集成事件时间间隔有效检测智能家居中的异常

• DOI: 10.1016/j.procs.2022.10.119
• 发表时间: 2022-01-20
• 期刊: ArXiv
• 作者: Chenxu Jiang;Chenglong Fu;Zhenyu Zhao;Xiaojiang Du;Yuede Ji
• 通讯作者: Yuede Ji

Fine-Tuned Access Control for Internet of Things

物联网的微调访问控制

• DOI: 10.1109/fmec57183.2022.10062612
• 发表时间: 2022-12
• 期刊: 2022 Seventh International Conference on Fog and Mobile Edge Computing (FMEC
• 作者: Jakielaszek, Luke;Xu, Xuening;Du, Xiaojiang;Ratazzi, E. Paul
• 通讯作者: Ratazzi, E. Paul