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Collaborative Research: CISE-MSI: RCBP-RF: CNS: RESCUE: Intelligent Public Safety based on Integrated Communications Systems

Collaborative Research: CISE-MSI: RCBP-RF: CNS: RESCUE: Intelligent Public Safety based on Integrated Communications Systems
合作研究:CISE-MSI:RCBP-RF:CNS:RESCUE:基于集成通信系统的智能公共安全
批准号:
2219617
负责人:
Eirini Eleni Tsiropoulou
金额:
$18.36万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-10-01 至 2024-09-30

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中文摘要
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英文摘要
Natural and man-made disasters pose a serious threat to individuals, assets, and society. As such, public safety organizations and first responders are increasingly reliant on Information Communication Technology (ICT) to perform their duties. Disaster management requires a set of capabilities, which includes resource management, access to relevant data and information, and robust and resilient communications. In support of these needs, the RESCUE project will design a three dimensional (3D) networks architecture that exploits the advances in the field of next generation wireless networks to provide a prototype solution such that an integrated communications system for disaster relief operations is realized. Additionally, an innovative massive multiple access mechanism and a dynamic spectrum sharing model will be introduced to increase the public safety system’s capacity and improve the spectrum utilization, respectively, during the relief operations. A new Positioning, Navigation, and Timing (PNT) solution will be proposed to support scenarios of Global Positioning System (GPS) denial by utilizing the next generation networks technology of Reconfigurable Intelligent Surfaces (RIS). The outcomes will have long-lasting benefits for the communications, and in turn the well-being, of the victims and first responders during disaster relief operations. Furthermore, the project will provide unique training for graduate and undergraduate students at the crossroads of reinforcement learning and next generation networking technologies.The RESCUE project will introduce a novel 3D networks architecture that exploits terrestrial and aerial base stations to provide the necessary redundancy of communications during disaster relief operations. A novel massive multiple access mechanism will support the victims and first responders’ connectivity, and a robust dynamic spectrum sharing model will improve the spectrum utilization during disaster scenarios characterized by increased traffic demand. Innovative mechanisms to support the extended communications coverage, the mobility management, and the efficient resource management of the limited communications resources will be designed via utilization of the next generation wireless networks’ technologies of Reconfigurable Intelligent Surfaces, Intelligent Omni-Surfaces, and the Integrated Access and Backhaul. A new positioning, navigation, and timing solution will support the disaster relief operations in cases of GPS-denial scenarios or indoor environments by exploiting the next generation wireless networks’ technologies. A thorough testing and evaluation of the proposed 3D networks architecture and the supporting modules will be performed by following a simulation, emulation, and in-field iterative testing approach. The novelty of the RESCUE project lies in the synergistic, integrated, and pragmatic approach to efficiently utilize the next generation wireless networks’ technologies to design an operational prototype that will support the connectivity of victims and first responders in public safety scenarios. The research outcomes of this project have the potential to support activities of Emergency Control Centers, such as in the City of Albuquerque.This project is jointly funded by the CISE MSI program and the Established Program to Stimulate Competitive Research (EPSCoR).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(6)
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会议论文
DOI: 10.1109/dcoss-iot58021.2023.00052
发表时间: 2023-06
期刊: 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
影响因子: --
作者: [Md. Sadman Siraj;Aisha B. Rahman;E. Tsiropoulou;S. Papavassiliou;Jim Plusquellic]
通讯作者: Md. Sadman Siraj;Aisha B. Rahman;E. Tsiropoulou;S. Papavassiliou;Jim Plusquellic
DOI: 10.1109/dcoss-iot58021.2023.00105
发表时间: 2023-06
期刊: 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
影响因子: --
作者: [Md. Sadman Siraj;Aisha B. Rahman;P. Charatsaris;E. Tsiropoulou;S. Papavassiliou]
通讯作者: Md. Sadman Siraj;Aisha B. Rahman;P. Charatsaris;E. Tsiropoulou;S. Papavassiliou
DOI: 10.1109/jsyst.2023.3268989
发表时间: 2023-09
期刊: IEEE Systems Journal
影响因子: 4.4
作者: [Md. Sadman Siraj;Aisha B. Rahman;Maria Diamanti;E. Tsiropoulou;S. Papavassiliou]
通讯作者: Md. Sadman Siraj;Aisha B. Rahman;Maria Diamanti;E. Tsiropoulou;S. Papavassiliou
DOI: 10.1109/dcoss-iot58021.2023.00038
发表时间: 2023-06
期刊: 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
影响因子: --
作者: [Aisha B. Rahman;Jordan Patrizi;P. Charatsaris;E. Tsiropoulou;S. Papavassiliou]
通讯作者: Aisha B. Rahman;Jordan Patrizi;P. Charatsaris;E. Tsiropoulou;S. Papavassiliou
6
    Collaborative Research: SOTERIA: Satisfaction and Risk-aware Dynamic Resource Orchestration in Public Safety Systems
    • 批准号:
      2319994
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2023
    • 负责人:
      Eirini Eleni Tsiropoulou
    • 依托单位:
    CRII: NeTS: Real-life modeling for EFficient RESource management in Heterogeneous multi-user systems - REFRESH
    • 批准号:
      1849739
    • 项目类别:
      Standard Grant
    • 资助金额:
      $17.5万
    • 财政年份:
      2019
    • 负责人:
      Eirini Eleni Tsiropoulou
    • 依托单位:
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    Research on Quantum Field Theory without a Lagrangian Description
    • 批准号:
      24ZR1403900
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      SATOSHI NAWATA
    • 依托单位:
    Cell Research
    Cell Research
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