Enabling collaborative edge computing for software defined vehicular networks

K Wang, H Yin, W Quan, G Min - IEEE network, 2018 - ieeexplore.ieee.org
Edge computing has great potential to address the challenges in mobile vehicular networks
by transferring partial storage and computing functions to network edges. However, it is still …

Collaborative vehicular edge computing networks: Architecture design and research challenges

R Xie, Q Tang, Q Wang, X Liu, FR Yu, T Huang - IEEE Access, 2019 - ieeexplore.ieee.org
The emergence of augmented reality (AR), autonomous driving and other new applications
have greatly enriched the functionality of the vehicular networks. However, these …

Vehicular edge computing and networking: A survey

L Liu, C Chen, Q Pei, S Maharjan, Y Zhang - Mobile networks and …, 2021 - Springer
As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network
(VANET) has received remarkable interest from academia and industry. The emerging …

A survey on vehicular edge computing: architecture, applications, technical issues, and future directions

S Raza, S Wang, M Ahmed… - … and Mobile Computing, 2019 - Wiley Online Library
A new networking paradigm, Vehicular Edge Computing (VEC), has been introduced in
recent years to the vehicular network to augment its computing capacity. The ultimate …

Virtual edge: Exploring computation offloading in collaborative vehicular edge computing

N Cha, C Wu, T Yoshinaga, Y Ji, KLA Yau - IEEE Access, 2021 - ieeexplore.ieee.org
Vehicular edge computing (VEC) has been a new paradigm to support computation-
intensive and latency-sensitive services. However, the scarcity of computational resources is …

Digital twin-assisted resource allocation framework based on edge collaboration for vehicular edge computing

SR Jeremiah, LT Yang, JH Park - Future Generation Computer Systems, 2024 - Elsevier
Abstract Vehicular Edge Computing (VEC) supports latency-sensitive and computation-
intensive vehicular applications by providing caching and computing services in vehicle …

FiWi-enhanced vehicular edge computing networks: Collaborative task offloading

H Guo, J Zhang, J Liu - IEEE Vehicular Technology Magazine, 2018 - ieeexplore.ieee.org
Intelligent connected vehicles (ICVs) equipped with onboard sensors, communication, and
computation units, are expected to be the promising paradigm of future vehicles. With the …

Task offloading in vehicular edge computing networks: A load-balancing solution

J Zhang, H Guo, J Liu, Y Zhang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Recently, the rapid advance of vehicular networks has led to the emergence of diverse delay-
sensitive vehicular applications such as automatic driving, auto navigation. Note that …

Collaborative task offloading in vehicular edge multi-access networks

G Qiao, S Leng, K Zhang, Y He - IEEE Communications …, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) has emerged as a promising paradigm to realize user
requirements with low-latency applications. The deep integration of multi-access …

Mobile edge computing for the internet of vehicles: Offloading framework and job scheduling

J Feng, Z Liu, C Wu, Y Ji - IEEE vehicular technology magazine, 2018 - ieeexplore.ieee.org
As an enabling technology for the Internet of Vehicles (IoV), mobile edge computing (MEC)
provides potential solutions for sharing the computation capabilities among vehicles, in …