mlsanityData to 14 Oct 2026

When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds

arXiv 2208.13501 ↗First posted 29 Aug 2022cs.NIcited by 19

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Abstract (arXiv)

In recent years, the Internet of Things (IoT) is studied in the context of the Metaverse to provide users immersive cyber-virtual experiences in mixed reality environments. This survey introduces six typical IoT applications in the Metaverse, including collaborative healthcare, education, smart city, entertainment, real estate, and socialization. In the IoT-inspired Metaverse, we also comprehensively survey four pillar technologies that enable augmented reality (AR) and virtual reality (VR), namely, responsible artificial intelligence (AI), high-speed data communications, cost-effective mobile edge computing (MEC), and digital twins. According to the physical-world demands, we outline the current industrial efforts and seven key requirements for building the IoT-inspired Metaverse: immersion, variety, economy, civility, interactivity, authenticity, and independence. In addition, this survey describes the open issues in the IoT-inspired Metaverse, which need to be addressed to eventually achieve the convergence of physical and cyber worlds.

Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Aug 2022.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 2; 2023: 7; 2024: 4; 2025: 4; 2026: 2.

19 papers.

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  1. 2023Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directionscited by 21
  2. 2023Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Surveycited by 18
  3. 2022HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaversecited by 14
  4. 2023Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Predictioncited by 10
  5. 2023Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approachcited by 9
  6. 2022Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approachcited by 6
  7. 2024Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunitiescited by 6
  8. 2023Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunitiescited by 4
  9. 2023Federated Multi-View Synthesizing for Metaversecited by 4
  10. 2023Real-Time Onboard Object Detection for Augmented Reality: Enhancing Head-Mounted Display with YOLOv8cited by 3
  11. 2024Leverage Variational Graph Representation For Model Poisoning on Federated Learningcited by 3
  12. 2025Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaversescited by 2
7 more
  1. 2024A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoTcited by 1
  2. 2024Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectivescited by 0
  3. 2025Sustainable and Intelligent Public Facility Failure Management System Based on Large Language Modelscited by 0
  4. 2025Undermining Federated Learning Accuracy in EdgeIoT via Variational Graph Auto-Encoderscited by 0
  5. 2025Advancing Autonomous Emergency Response Systems: A Generative AI Perspectivecited by 0
  6. 2026Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directionscited by 0
  7. 2026S2GS: Structured Sparse Gaussian Streaming for Efficient Free-Viewpoint Video Reconstruction on Edge-IoT Devicescited by 0