Internet of Federated Digital Twins (IoFDT): Connecting Twins Beyond Borders for Society 5.0

• URL: http://arxiv.org/abs/2312.06432v3
• Date: Sun, 27 Oct 2024 11:35:59 GMT
• Title: Internet of Federated Digital Twins (IoFDT): Connecting Twins Beyond Borders for Society 5.0
• Authors: Tao Yu, Zongdian Li, Kei Sakaguchi, Omar Hashash, Walid Saad, Merouane Debbah,
• Abstract summary: The concept of digital twin (DT) is expected to revolutionize future industries and will lie at the heart of the vision of a future smart society, namely, Society 5.0. This paper envisions a novel concept of an Internet of Federated Digital Twins (IoFDT) that holistically integrates DTs representing different Society 5.0 services.
• Score: 47.60424943340677
• License:
• Abstract: The concept of digital twin (DT), which enables the creation of a programmable, digital representation of physical systems, is expected to revolutionize future industries and will lie at the heart of the vision of a future smart society, namely, Society 5.0, in which high integration between cyber (digital) and physical spaces is exploited to bring economic and societal advancements. However, the success of such a DT-driven Society 5.0 requires a synergistic convergence of artificial intelligence and networking technologies into an integrated, programmable system that can coordinate DT networks to effectively deliver diverse Society 5.0 services. Prior works remain restricted to either qualitative study, simple analysis or software implementations of a single DT, and thus, they cannot provide the highly synergistic integration of digital and physical spaces as required by Society 5.0. In contrast, this paper 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 framework and system. For this concept of IoFDT, we first introduce a hierarchical architecture that integrates federated DTs through horizontal and vertical interactions, bridging cyber and physical spaces to unlock new possibilities. Then, we discuss challenges of realizing IoFDT, highlighting the intricacies across communication, computing, and AI-native networks while also underscoring potential innovative solutions. Subsequently, we elaborate on the importance of the implementation of a unified IoFDT platform that integrates all technical components and orchestrates their interactions, emphasizing the necessity of practical experimental platforms with a focus on real-world applications in areas like smart mobility.

Related papers

• Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G [58.440115433585824]
  Building future wireless systems that support services like digital twins (DTs) is challenging to achieve through advances to conventional technologies like meta-surfaces. While artificial intelligence (AI)-native networks promise to overcome some limitations of wireless technologies, developments still rely on AI tools like neural networks. This paper revisits the concept of AI-native wireless systems, equipping them with the common sense necessary to transform them into artificial general intelligence (AGI)-native systems.
  arXiv  Detail & Related papers  (2024-04-29T04:51:05Z)
• Multi-Tier Computing-Enabled Digital Twin in 6G Networks [50.236861239246835]
  In Industry 4.0, industries such as manufacturing, automotive, and healthcare are rapidly adopting DT-based development. The main challenges to date have been the high demands on communication and computing resources, as well as privacy and security concerns. To achieve low latency and high security services in the emerging DT, multi-tier computing has been proposed by combining edge/fog computing and cloud computing.
  arXiv  Detail & Related papers  (2023-12-28T13:02:53Z)
• Fostering new Vertical and Horizontal IoT Applications with Intelligence Everywhere [8.208838459484676]
  Intelligence Everywhere is predicated on the seamless integration of IoT networks transporting a vast amount of data streams. This paper discusses the state-of-the-art research and the principles of the Intelligence Everywhere framework. It also introduces a novel perspective for the development of horizontal IoT applications.
  arXiv  Detail & Related papers  (2023-09-30T11:59:39Z)
• Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges [55.82853124625841]
  Artificial General Intelligence (AGI) possesses the capacity to comprehend, learn, and execute tasks with human cognitive abilities. This research embarks on an exploration of the opportunities and challenges towards achieving AGI in the context of the Internet of Things. The application spectrum for AGI-infused IoT is broad, encompassing domains ranging from smart grids, residential environments, manufacturing, and transportation to environmental monitoring, agriculture, healthcare, and education.
  arXiv  Detail & Related papers  (2023-09-14T05:43:36Z)
• Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities [68.03971716740823]
  In recent years, ubiquitous semantic Metaverse has been studied to revolutionize immersive cyber-virtual experiences for augmented reality (AR) and virtual reality (VR) users. This survey focuses on the representation and intelligence for the four fundamental system components in ubiquitous Metaverse.
  arXiv  Detail & Related papers  (2023-07-13T11:14:46Z)
• Decentralized Zero-Trust Framework for Digital Twin-based 6G [8.01618424103984]
  The article presents a new framework that integrates the zero-trust architecture in DT-enabled 6G networks. Unlike conventional zero-trust solutions, the proposed framework adapts a decentralized mechanism to ensure the security, privacy and authenticity of both the physical devices and their DT counterparts. The article also discusses current solutions and future outlooks, with challenges and some technology enablers.
  arXiv  Detail & Related papers  (2023-02-06T20:13:19Z)
• Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse [15.467677203822522]
  The metaverse is an immersive 3D virtual world that integrates fantasy and reality into a virtual environment using advanced virtual reality (VR) and augmented reality (AR) devices. We propose a framework that integrates digital twin (DT) with other advanced technologies such as the sixth generation (6G) communication network, blockchain, and AI, to maintain continuous end-to-end metaverse services.
  arXiv  Detail & Related papers  (2022-10-03T17:02:58Z)
• The Interplay of AI and Digital Twin: Bridging the Gap between Data-Driven and Model-Driven Approaches [2.842794675894731]
  The Digital Twin (DT) concept aims to create a virtual twin for the physical entities and network dynamics. Despite the common understanding that AI is the seed for DT, we anticipate that the DT and AI will be enablers for each other.
  arXiv  Detail & Related papers  (2022-09-26T05:12:58Z)
• Future Computer Systems and Networking Research in the Netherlands: A Manifesto [137.47124933818066]
  We draw attention to CompSys as a vital part of ICT. Each of the Top Sectors of the Dutch Economy, each route in the National Research Agenda, and each of the UN Sustainable Development Goals pose challenges that cannot be addressed without CompSys advances.
  arXiv  Detail & Related papers  (2022-05-26T11:02:29Z)
• Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control [3.1798318618973362]
  Digital twin (DT) technologies have emerged as a solution for real-time data-driven modeling of cyber physical systems. We establish a conceptual layered architecture for a DT framework with decentralized implementation on cloud computing. We discuss the significance of DT in lowering the risk of development and deployment of innovative technologies on existing system.
  arXiv  Detail & Related papers  (2022-04-05T03:04:02Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.