Drivers and barriers affecting metaverse adoption: A systematic review, theoretical framework, and avenues for future research

MA Al-Sharafi, M Al-Emran, N Al-Qaysi… - … Journal of Human …, 2024 - Taylor & Francis
The Metaverse holds immense potential for individuals, organizations, and society,
providing immersive and innovative experiences. However, its adoption is a complex …

Comprehensive survey on resource allocation for edge-computing-enabled metaverse

T Baidya, S Moh - Computer Science Review, 2024 - Elsevier
With the rapid evaluation of virtual and augmented reality, massive Internet of Things
networks and upcoming 6 G communication give rise to an emerging concept termed the …

Diffusion model-based incentive mechanism with prospect theory for edge AIGC services in 6G IoT

J Wen, J Nie, Y Zhong, C Yi, X Li, J **… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The fusion of the Internet of Things (IoT) with sixth-generation (6G) technology has
significant potential to revolutionize the IoT landscape. With the ultrareliable and low-latency …

Tiny Multi-Agent DRL for Twins Migration in UAV Metaverses: A Multi-Leader Multi-Follower Stackelberg Game Approach

J Kang, Y Zhong, M Xu, J Nie, J Wen… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The synergy between unmanned aerial vehicles (UAVs) and metaverses is giving rise to an
emerging paradigm named UAV metaverses, which create a unified ecosystem that blends …

Securing Federated Diffusion Model With Dynamic Quantization for Generative AI Services in Multiple-Access Artificial Intelligence of Things

J He, B Lai, J Kang, H Du, J Nie… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Generative diffusion models (GDMs) have emerged as potent tools for generating high-
quality, creative content across various media, including audio, images, videos, and 3-D …

FLCSDet: Federated Learning-Driven Cross-Spatial Vessel Detection for Maritime Surveillance With Privacy Preservation

Y Huang, W Liu, Y Lin, J Kang, F Zhu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Maritime surveillance plays a vital role in reducing maritime accidents and improving
maritime safety. To enhance situational awareness for maritime movements, deep learning …

D-tracking: digital twin enabled trajectory tracking system of autonomous vehicles

Y Hu, M Wu, J Kang, R Yu - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
The precision of trajectory tracking significantly influences the driving safety of autonomous
vehicles. Therefore, it is crucial to accurately estimate and use control algorithms to reduce …

Digital Twin-Assisted Safety Control for Connected Automated Vehicles in Mixed-Autonomy Traffics

X Wang, M Hao, M Wu, C Shang, R Yu… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
With the development of intelligent transportation systems (ITSs), digital twin (DT)
technology is becoming increasingly widespread in the application of connected automated …

Blockchain-based Pseudonym Management for Vehicle Twin Migrations in Vehicular Edge Metaverse

J Kang, X Luo, J Nie, T Wu, H Zhou… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Driven by the great advances in metaverse and edge computing technologies, vehicular
edge metaverses are expected to disrupt the current paradigm of intelligent transportation …

Hybrid RAG-Empowered Multi-Modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-Based Contract Approach

C Su, J Wen, J Kang, Y Wang, Y Su… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Secure data management and effective data sharing have become paramount in the rapidly
evolving healthcare landscape, especially with the growing demand for the Internet of …