6G Internet of Things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The sixth-generation (6G) wireless communication networks are envisioned to revolutionize
customer services and applications via the Internet of Things (IoT) toward a future of fully …

Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges

F Tang, B Mao, N Kato, G Gui - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …

Blockchain empowered asynchronous federated learning for secure data sharing in internet of vehicles

Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In Internet of Vehicles (IoV), data sharing among vehicles for collaborative analysis can
improve the driving experience and service quality. However, the bandwidth, security and …

Blockchain for the internet of vehicles towards intelligent transportation systems: A survey

MB Mollah, J Zhao, D Niyato, YL Guan… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) is an emerging concept that is believed to help realize the vision of
intelligent transportation systems (ITSs). IoV has become an important research area of …

Low-latency federated learning and blockchain for edge association in digital twin empowered 6G networks

Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Emerging technologies, such as digital twins and 6th generation (6G) mobile networks, have
accelerated the realization of edge intelligence in industrial Internet of Things (IIoT). The …

Adaptive digital twin and multiagent deep reinforcement learning for vehicular edge computing and networks

K Zhang, J Cao, Y Zhang - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Technological advancements of urban informatics and vehicular intelligence have enabled
connected smart vehicles as pervasive edge computing platforms for a plethora of powerful …

Deep learning for change detection in remote sensing images: Comprehensive review and meta-analysis

L Khelifi, M Mignotte - Ieee Access, 2020 - ieeexplore.ieee.org
Deep learning (DL) algorithms are considered as a methodology of choice for remote-
sensing image analysis over the past few years. Due to its effective applications, deep …

Edge content caching with deep spatiotemporal residual network for IoV in smart city

X Xu, Z Fang, J Zhang, Q He, D Yu, L Qi… - ACM Transactions on …, 2021 - dl.acm.org
Internet of Vehicles (IoV) enables numerous in-vehicle applications for smart cities, driving
increasing service demands for processing various contents (eg, videos). Generally, for …

Blockchain for edge of things: Applications, opportunities, and challenges

TR Gadekallu, QV Pham, DC Nguyen… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In recent years, blockchain networks have attracted significant attention in many research
areas beyond cryptocurrency, one of them being the Edge of Things (EoT) that is enabled by …

Communication-efficient federated learning and permissioned blockchain for digital twin edge networks

Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Emerging technologies, such as mobile-edge computing (MEC) and next-generation
communications are crucial for enabling rapid development and deployment of the Internet …