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 …

A game-based computation offloading method in vehicular multiaccess edge computing networks

Y Wang, P Lang, D Tian, J Zhou, X Duan… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) is a new paradigm to meet the requirements for low
latency and high reliability of applications in vehicular networking. More computation …

Federated learning for computational offloading and resource management of vehicular edge computing in 6G-V2X network

MK Hasan, N Jahan, MZA Nazri, S Islam… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The Sixth Generation network (6G) can support autonomous driving along with various
vehicular applications like Vehicular Edge Computing (VEC), a distributed computing …

Distributed computation offloading method based on deep reinforcement learning in ICV

C Chen, Y Zhang, Z Wang, S Wan, Q Pei - Applied Soft Computing, 2021 - Elsevier
With the rapid development of Intelligent Connected Vehicles (ICVs), more effective
computation resources optimization schemes in task scheduling are exactly required for …

Partial computation offloading in parked vehicle-assisted multi-access edge computing: A game-theoretic approach

XQ Pham, T Huynh-The, EN Huh… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Parked vehicle-assisted multi-access edge computing (PVMEC) is a paradigm that exploits
the under-utilized resources of parked vehicles (PVs) to assist MEC servers for offloaded …

Parking edge computing: Parked-vehicle-assisted task offloading for urban VANETs

C Ma, J Zhu, M Liu, H Zhao, N Liu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Vehicular edge computing has been a promising paradigm to offer low-latency and high
reliability vehicular services for users. Nevertheless, for compute-intensive vehicle …

Computation offloading for vehicular environments: A survey

AB De Souza, PAL Rego, T Carneiro… - IEEE …, 2020 - ieeexplore.ieee.org
With significant advances in communication and computing, modern day vehicles are
becoming increasingly intelligent. This gives them the ability to contribute to safer roads and …

Computation offloading and content caching and delivery in vehicular edge network: A survey

RA Dziyauddin, D Niyato, NC Luong, AAAM Atan… - Computer Networks, 2021 - Elsevier
The past decade has witnessed the widespread adoption of Cloud Computing (CC) across
automotive industries for a myriad of vehicular applications. A vehicular network that solely …

Efficient computation offloading in multi-tier multi-access edge computing systems: A particle swarm optimization approach

LNT Huynh, QV Pham, XQ Pham, TDT Nguyen… - Applied Sciences, 2019 - mdpi.com
In recent years, multi-access edge computing (MEC) has become a promising technology
used in 5G networks based on its ability to offload computational tasks from mobile devices …

Scalable parallel task scheduling for autonomous driving using multi-task deep reinforcement learning

Q Qi, L Zhang, J Wang, H Sun, Z Zhuang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) as a promising application of Internet of Things (IoT) has
played a significant role in autonomous driving, by connecting intelligent vehicles …