Evolutionary V2X technologies toward the Internet of vehicles: Challenges and opportunities

H Zhou, W Xu, J Chen, W Wang - Proceedings of the IEEE, 2020 - ieeexplore.ieee.org
To enable large-scale and ubiquitous automotive network access, traditional vehicle-to-
everything (V2X) technologies are evolving to the Internet of Vehicles (IoV) for increasing …

A taxonomy and survey of edge cloud computing for intelligent transportation systems and connected vehicles

P Arthurs, L Gillam, P Krause, N Wang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Recent advances in smart connected vehicles and Intelligent Transportation Systems (ITS)
are based upon the capture and processing of large amounts of sensor data. Modern …

A novel secured multi-access edge computing based vanet with neuro fuzzy systems based blockchain framework

M Poongodi, S Bourouis, AN Ahmed… - Computer …, 2022 - Elsevier
In vehicle ad-hoc networks, the progression of wireless communication technology to 6G,
overcomes storage, processing, privacy, and power limits to create an efficient and …

SDN/NFV-empowered future IoV with enhanced communication, computing, and caching

W Zhuang, Q Ye, F Lyu, N Cheng… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Internet-of-Vehicles (IoV) connects vehicles, sensors, pedestrians, mobile devices, and the
Internet with advanced communication and networking technologies, which can enhance …

Multi-objective optimization for resource allocation in vehicular cloud computing networks

W Wei, R Yang, H Gu, W Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Modern transportation is associated with considerable challenges related to safety, mobility,
the environment and space limitations. Vehicular networks are widely considered to be a …

Priority-aware task offloading in vehicular fog computing based on deep reinforcement learning

J Shi, J Du, J Wang, J Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has been expected as a promising scheme that can increase
the computational capability of vehicles without relying on servers. Comparing with …

Vehicular edge computing: Architecture, resource management, security, and challenges

R Meneguette, R De Grande, J Ueyama… - ACM Computing …, 2021 - dl.acm.org
Vehicular Edge Computing (VEC), based on the Edge Computing motivation and
fundamentals, is a promising technology supporting Intelligent Transport Systems services …

Dependency-aware task scheduling in vehicular edge computing

Y Liu, S Wang, Q Zhao, S Du, A Zhou… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) offers a new paradigm to improve vehicular services and
augment the capabilities of vehicles. In this article, we study the problem of task scheduling …

Dynamic task offloading and resource allocation for mobile-edge computing in dense cloud RAN

Q Zhang, L Gui, F Hou, J Chen, S Zhu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the unprecedented development of smart mobile devices (SMDs), eg, Internet-of-
Things devices and smartphones, various computation-intensive applications are …

Deep reinforcement learning-based adaptive computation offloading for MEC in heterogeneous vehicular networks

H Ke, J Wang, L Deng, Y Ge… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The vehicular network needs efficient and reliable data communication technology to
maintain low latency. It is very challenging to minimize the energy consumption and data …