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 …

Spectrum handoff in cognitive radio networks: A classification and comprehensive survey

K Kumar, A Prakash, R Tripathi - Journal of Network and Computer …, 2016 - Elsevier
The rapid progression in wireless networking has raised the demand of extra spectrum
bands. The current fixed spectrum allocation policy used by the government agencies is …

Future intelligent and secure vehicular network toward 6G: Machine-learning approaches

F Tang, Y Kawamoto, N Kato, J Liu - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …

Deep reinforcement learning for collaborative edge computing in vehicular networks

M Li, J Gao, L Zhao, X Shen - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising technology to support mission-critical
vehicular applications, such as intelligent path planning and safety applications. In this …

LVBS: Lightweight vehicular blockchain for secure data sharing in disaster rescue

Z Su, Y Wang, Q Xu, N Zhang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In disaster areas, a large amount of data (eg, rescue commands, road damage, and rescue
experience) should be delivered among ground rescuing vehicles for safe driving and …

Integration of blockchain and edge computing in internet of things: A survey

H Xue, D Chen, N Zhang, HN Dai, K Yu - Future Generation Computer …, 2023 - Elsevier
As an important technology to ensure data security, consistency, traceability, etc., blockchain
has been increasingly used in Internet of Things (IoT) applications. The integration of …

Big data driven vehicular networks

N Cheng, F Lyu, J Chen, W Xu, H Zhou, S Zhang… - Ieee …, 2018 - ieeexplore.ieee.org
VANETs enable information exchange among vehicles, other end devices and public
networks, which plays a key role in road safety/infotainment, intelligent transportation …

Connected vehicles: Solutions and challenges

N Lu, N Cheng, N Zhang, X Shen… - IEEE internet of things …, 2014 - ieeexplore.ieee.org
Providing various wireless connectivities for vehicles enables the communication between
vehicles and their internal and external environments. Such a connected vehicle solution is …

A passivity-based approach to Nash equilibrium seeking over networks

D Gadjov, L Pavel - IEEE Transactions on Automatic Control, 2018 - ieeexplore.ieee.org
In this paper, we consider the problem of distributed Nash equilibrium (NE) seeking over
networks, a setting in which players have limited local information on the others' decisions …

Software-defined cooperative data sharing in edge computing assisted 5G-VANET

G Luo, H Zhou, N Cheng, Q Yuan, J Li… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
It is widely recognized that connected vehicles have the potential to further improve the road
safety, transportation intelligence and enhance the in-vehicle entertainment. By leveraging …