课题基金 / 基金详情

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

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:
$70.0万
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
项目状态:
已结题
起止时间:
2021-10-01 至 2024-07-31

项目摘要

项目成果

Xiaojiang Du的其他基金

相似基金

相关文献

中文摘要
翻译
物联网(IoT)设备和系统有很多应用,如智能家居、智能办公、医疗保健、老年护理和工业系统。国际数据公司(IDC)报告显示,2019年智能家居IoT设备出货量超过8.15亿台,并预测这一数字将在2023年达到13.9亿台。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、临时和非现实的试验台或模拟工具来生成数据和/或评估他们的工作。美国物联网研究界缺乏高保真的实验设施,无法支持对联网的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物联网基础设施来解决这一关键问题,该基础设施提供可远程访问、可配置和可编程的物联网试验台。该基础设施是第一个现实的大规模基础设施,它包括智能家居和物联网硬件试验床、智能医疗试验床和智能办公物联网试验床。试验床将在许多领域实现新颖和高质量的研究,如硬件设计、物联网、医疗保健、老年护理、智能家居/办公室、智能城市等。该项目将让广泛的社区(包括学术界、产业界和政府)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。共享的、可远程访问的、可配置的、可编程的和可观测的物联网试验台非常需要不同组织的研究人员进行大规模试验和测试他们的工作。该项目通过开发集成物联网基础设施来解决这一关键问题。该基础设施包括使用一个统一界面的三个可远程访问、可配置和可编程的物联网试验床:一个智能家居和安装物联网硬件试验床、一个智能医疗保健试验床和一个智能办公室物联网试验床。每个试验台由几个可远程控制/可编程的机器人(模拟人类活动)、大量智能物联网设备和一个物联网边缘服务器(用于在本地存储和处理物联网数据)组成。智能家居和物联网硬件试验台还包括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交互的功能,并根据需要超越它们的控制,以进一步定制它们的功能。在该项目中,该团队将开发硬件和软件(例如,智能物联网应用程序(APP)、物联网管理软件和Web界面),以向这些现成的物联网设备授予此类远程访问功能。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、可配置的物联网硬件测试、基于现实试验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老年护理。有了三个物联网试验台,广泛的研究社区(如硬件设计、物联网、医疗保健、老年护理和智能家庭/办公室)将首次能够生成、访问和收集真实数据,以及使用真实设备测量和运行实验。该项目将促进、扩展和加速广泛领域的高质量研究,并有助于将不同的社区聚集在一起。拟议的基础设施将带来许多新的CEISE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、产业界和政府)。(3)该项目将把基础设施发展和辅助研究纳入其课程发展。这个拟议的项目将直接在坦普尔大学和两个EPSCoR机构(阿肯色大学和南卡罗来纳大学)培养新的研究和教育机会。(4)PIS将让代表人数不足的群体和K-12社区的学生参与这一项目。(5)除出版物外,PIS还将创建一个公众可访问的GitHub储存库来共享项目成果。该奖项反映了NSF的法定使命,并已通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.procs.2022.10.119
发表时间: 2022-01
期刊: ArXiv
影响因子: --
作者: [Chenxu Jiang;Chenglong Fu;Zhenyu Zhao;Xiaojiang Du;Yuede Ji]
通讯作者: Chenxu Jiang;Chenglong Fu;Zhenyu Zhao;Xiaojiang Du;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
期刊: 2022 Seventh International Conference on Fog and Mobile Edge Computing (FMEC
影响因子: --
作者: [Jakielaszek, Luke, Xu, Xuening, Du, Xiaojiang, Ratazzi, E. Paul]
通讯作者: Ratazzi, E. Paul
Collaborative Research: CNS Core: Medium: Towards Understanding and Handling Problems Due to Coexistence of Multiple IoT Platforms
  • 批准号:
    2106978
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2021
  • 负责人:
    Xiaojiang Du
  • 依托单位:
Collaborative Research: CNS Core: Medium: Towards Understanding and Handling Problems Due to Coexistence of Multiple IoT Platforms
  • 批准号:
    2205868
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2021
  • 负责人:
    Xiaojiang Du
  • 依托单位:
CCRI: Medium: Collaborative Research: Hardware-in-the-Loop and Remotely-Accessible/Configurable/Programmable Internet of Things (IoT) Testbeds
  • 批准号:
    2016589
  • 项目类别:
    Standard Grant
  • 资助金额:
    $70.0万
  • 财政年份:
    2020
  • 负责人:
    Xiaojiang Du
  • 依托单位:
I-Corps: Commercialization Feasibility Research and Demonstration Preparation for Increasing Cognitive Femtocell Network Capacity
  • 批准号:
    1355268
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2013
  • 负责人:
    Xiaojiang Du
  • 依托单位:
海外基金