Collaborative Research: NeTS: JUNO3: Towards an Internet of Federated Digital Twins (IoFDT) for Society 5.0: Fundamentals and Experimentation
合作研究:NetS:JUNO3:迈向社会 5.0 的联合数字孪生 (IoFDT) 互联网:基础知识和实验
基本信息
- 批准号:2210254
- 负责人:
- 金额:$ 27.5万
- 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
- 起止时间:2022-09-01 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The concept of a digital twin (DT) that enables the creation of a programmable, digital representation of physical systems (e.g., smart vehicles) will revolutionize future industries. DTs lie at the heart of the vision of a future smart society, dubbed Society 5.0 by Japan, in which a high integration between cyber and physical spaces is exploited to bring forth economic and societal advancement across industries ranging from intelligent transportation to robotics. To realize this vision of a new DT-driven Society 5.0, this project envisions a novel concept of an Internet of Federated Digital Twins (IoFDT) that holistically integrates heterogeneous and physically separated DTs representing different Society 5.0 services within a single system. The goal of the research is therefore to create the scientific foundations of the IoFDT through a close collaboration between a team of US and Japanese researchers with complementary expertise in wireless networking, DTs, and artificial intelligence (AI). These foundations include a new, fundamental framework for allowing effective design, analysis, and optimization of an IoFDT system, in presence of heterogeneous applications. The proposed research will have a tangible societal impact since it contributes towards enabling diverse Society 5.0 services (from transportation to factory automation) thus potentially improving the quality of life. The research is coupled with collaborative US-Japan DT-centric education, outreach, and dissemination plans that will help broaden the impact of the research. To design the proposed framework, this joint US-Japan project will merge ideas from wireless communications, machine learning, and programmable networking to contribute several innovations: 1) A cross-layer wireless and computing framework that introduces new methods for dynamic network slicing for the IoFDT system, 2) Efficient methods for DT-centric proactive resource optimization as well as collaborative computing and learning techniques that can deal with unprecedented dynamics of the cyber (wireless) and physical systems of an IoFDT, 3) A holistic AI framework, based on continual learning, that can faithfully build programmable DTs from a continuous stream of data while exploiting complex relationships and patterns across the physical systems and their coordinated twins, and 4) Realistic implementation in a programmable IoFDT platform that provides a meaningful proof-of-concept of an IoFDT system deployment in Japan.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.
数字孪生(DT)的概念,它能够创建物理系统的可编程数字表示(例如,智能汽车)将彻底改变未来的行业。DT是未来智能社会愿景的核心,日本将其称为社会5.0,其中网络和物理空间之间的高度整合被利用,以促进从智能交通到机器人等行业的经济和社会进步。为了实现新的DT驱动的社会5.0的愿景,该项目设想了一个新的概念,即联合数字孪生互联网(IoFDT),将代表不同社会5.0服务的异构和物理分离的DT整体集成在一个系统中。因此,该研究的目标是通过美国和日本研究人员团队之间的密切合作,在无线网络,DT和人工智能(AI)方面具有互补的专业知识,为IoFDT奠定科学基础。这些基础包括一个新的基本框架,用于在存在异构应用程序的情况下有效设计、分析和优化IoFDT系统。拟议的研究将产生切实的社会影响,因为它有助于实现多样化的社会5.0服务(从运输到工厂自动化),从而有可能提高生活质量。这项研究与美日合作的以DT为中心的教育,推广和传播计划相结合,这将有助于扩大研究的影响。为了设计拟议的框架,这个美日联合项目将融合无线通信、机器学习和可编程网络的想法,以贡献几项创新:1)跨层无线和计算框架,其引入用于IoFDT系统的动态网络切片的新方法,2)DT-1的有效方法以中心为中心的主动资源优化以及协作计算和学习技术,可以处理前所未有的网络动态3)基于持续学习的整体AI框架,可以忠实地从连续的数据流构建可编程DT,同时利用跨物理系统及其协调的双胞胎的复杂关系和模式,以及4)在可编程IoFDT平台中的实际实现,该平台提供了有意义的该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Towards a Decentralized Metaverse: Synchronized Orchestration of Digital Twins and Sub-Metaverses
迈向去中心化元宇宙:数字孪生和子元宇宙的同步编排
- DOI:
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Omar Hashash, Christina Chaccour
- 通讯作者:Omar Hashash, Christina Chaccour
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Walid Saad其他文献
Joint User Grouping, Version Selection and Bandwidth Allocation for Live Video Multicasting
直播视频组播的联合用户分组、版本选择和带宽分配
- DOI:
10.1109/tcomm.2021.3115480 - 发表时间:
2021 - 期刊:
- 影响因子:8.3
- 作者:
Zhilong Zhang;Minyin Zeng;Danpu Liu;Walid Saad;Shuguang Cui;H. Vincent Poor - 通讯作者:
H. Vincent Poor
Sensing Aided Channel Estimation in Wideband Millimeter-Wave MIMO Systems
宽带毫米波 MIMO 系统中的传感辅助信道估计
- DOI:
10.1109/iccworkshops57953.2023.10283636 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Rakesh Mundlamuri;Rajeev Gangula;C. Thomas;F. Kaltenberger;Walid Saad - 通讯作者:
Walid Saad
Computer Vision-Based Localization With Visible Light Communications
基于计算机视觉的可见光通信定位
- DOI:
10.1109/twc.2021.3109146 - 发表时间:
2022-03 - 期刊:
- 影响因子:10.4
- 作者:
Lin Bai;Yang Yang;Mingzhe Chen;Chunyan Feng;Caili Guo;Walid Saad;Shuguang Cui - 通讯作者:
Shuguang Cui
Investigation of genes that may contribute to disease tropism in Leishmania species
研究可能有助于利什曼原虫物种向病性的基因
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
Walid Saad - 通讯作者:
Walid Saad
Pilot Optimization and Channel Estimation Scheme for Semantic Communication: A Framework for Edge Intelligence
语义通信的导频优化和信道估计方案:边缘智能框架
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Kitae Kim;Y. Tun;Md. Shirajum Munir;Walid Saad;Choong Seon Hong - 通讯作者:
Choong Seon Hong
Walid Saad的其他文献
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{{ truncateString('Walid Saad', 18)}}的其他基金
NSF-AoF: Vision-Guided Wireless Communication Systems
NSF-AoF:视觉引导无线通信系统
- 批准号:
2225511 - 财政年份:2022
- 资助金额:
$ 27.5万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Small: Hierarchical Federated Learning Over Wireless Edge Networks: Performance Analysis and Optimization
协作研究:CNS 核心:小型:无线边缘网络的分层联邦学习:性能分析和优化
- 批准号:
2114267 - 财政年份:2021
- 资助金额:
$ 27.5万 - 项目类别:
Standard Grant
SII Planning: ARIES: Center for Agile, RelIablE, Scalable Spectrum
SII 规划:ARIES:敏捷、可靠、可扩展频谱中心
- 批准号:
2037870 - 财政年份:2020
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Standard Grant
EAGER: Collaborative Research: Modernizing Cities via Smart Garden Alleys with Application in Makassar City
EAGER:合作研究:通过智能花园巷实现城市现代化并在望加锡市应用
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2025377 - 财政年份:2020
- 资助金额:
$ 27.5万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Small: Extended Reality over Wireless Cellular Networks: Quality-of-Experience Analysis and Optimization
合作研究:CNS 核心:小型:无线蜂窝网络上的扩展现实:体验质量分析和优化
- 批准号:
2007635 - 财政年份:2020
- 资助金额:
$ 27.5万 - 项目类别:
Standard Grant
CNS Core: Small: Collaborative: Towards Surge-Resilient Hybrid RF/VLC Networks
CNS 核心:小型:协作:迈向抗浪涌混合 RF/VLC 网络
- 批准号:
1909372 - 财政年份:2019
- 资助金额:
$ 27.5万 - 项目类别:
Standard Grant
ICE-T: RC: Towards Highly Reliable Low Latency Broadband (HRLLBB) Communications over Wireless Heterogeneous Networks
ICE-T:RC:通过无线异构网络实现高度可靠的低延迟宽带 (HRLLBB) 通信
- 批准号:
1836802 - 财政年份:2018
- 资助金额:
$ 27.5万 - 项目类别:
Standard Grant
CRISP Type 1/Collaborative Research: A Human-Centered Computational Framework for Urban and Community Design of Resilient Coastal Cities
CRISP 类型 1/协作研究:以人为本的弹性沿海城市城市和社区设计计算框架
- 批准号:
1638283 - 财政年份:2017
- 资助金额:
$ 27.5万 - 项目类别:
Standard Grant
BIGDATA: Collaborative Research: IA: Big Data Analytics for Optimized Planning of Smart, Sustainable, and Connected Communities
BIGDATA:协作研究:IA:用于智能、可持续和互联社区优化规划的大数据分析
- 批准号:
1633363 - 财政年份:2016
- 资助金额:
$ 27.5万 - 项目类别:
Standard Grant
CRISP Type 2: Collaborative Research: Towards Resilient Smart Cities
CRISP 类型 2:协作研究:迈向弹性智能城市
- 批准号:
1541105 - 财政年份:2016
- 资助金额:
$ 27.5万 - 项目类别:
Standard Grant
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