A survey on metaverse: Fundamentals, security, and privacy

Y Wang, Z Su, N Zhang, R Xing, D Liu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Metaverse, as an evolving paradigm of the next-generation Internet, aims to build a fully
immersive, hyper spatiotemporal, and self-sustaining virtual shared space for humans to …

Classifications and applications of physical layer security techniques for confidentiality: A comprehensive survey

JM Hamamreh, HM Furqan… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Physical layer security (PLS) has emerged as a new concept and powerful alternative that
can complement and may even replace encryption-based approaches, which entail many …

A cooperative partial computation offloading scheme for mobile edge computing enabled Internet of Things

Z Ning, P Dong, X Kong, F Xia - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
With the evolutionary development of latency sensitive applications, delay restriction is
becoming an obstacle to run sophisticated applications on mobile devices. Partial …

Energy-latency tradeoff for energy-aware offloading in mobile edge computing networks

J Zhang, X Hu, Z Ning, ECH Ngai… - IEEE Internet of …, 2017 - ieeexplore.ieee.org
Mobile edge computing (MEC) brings computation capacity to the edge of mobile networks
in close proximity to smart mobile devices (SMDs) and contributes to energy saving …

A survey of 5G technology evolution, standards, and infrastructure associated with vehicle-to-everything communications by internet of vehicles

CR Storck, F Duarte-Figueiredo - IEEE access, 2020 - ieeexplore.ieee.org
The very last wireless network technology, created to increase the speed and the
connections responsiveness, the Fifth-Generation Network (5G) can transmit a great volume …

Vehicular fog computing: Enabling real-time traffic management for smart cities

Z Ning, J Huang, X Wang - IEEE Wireless Communications, 2019 - ieeexplore.ieee.org
Fog computing extends the facility of cloud computing from the center to edge networks.
Although fog computing has the advantages of location awareness and low latency, the …

Offloading in Internet of vehicles: A fog-enabled real-time traffic management system

X Wang, Z Ning, L Wang - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Fog computing has been merged with Internet of Vehicle (IoV) systems to provide
computational resources for end users, by which low latency can be guaranteed. In this …

Deep reinforcement learning for vehicular edge computing: An intelligent offloading system

Z Ning, P Dong, X Wang, JJPC Rodrigues… - ACM Transactions on …, 2019 - dl.acm.org
The development of smart vehicles brings drivers and passengers a comfortable and safe
environment. Various emerging applications are promising to enrich users' traveling …

Edge-cloud computing and artificial intelligence in internet of medical things: architecture, technology and application

L Sun, X Jiang, H Ren, Y Guo - IEEE Access, 2020 - ieeexplore.ieee.org
With the booming development of medical informatization and the ubiquitous connections in
the fifth generation mobile communication technology (5G) era, the heterogeneity and …

Tripres: Traffic flow prediction driven resource reservation for multimedia iov with edge computing

X Xu, Z Fang, L Qi, X Zhang, Q He, X Zhou - ACM Transactions on …, 2021 - dl.acm.org
The Internet of Vehicles (IoV) connects vehicles, roadside units (RSUs) and other intelligent
objects, enabling data sharing among them, thereby improving the efficiency of urban traffic …