Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks

L Liu, M Zhao, M Yu, MA Jan, D Lan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …

Double deep Q-network based dynamic framing offloading in vehicular edge computing

H Tang, H Wu, G Qu, R Li - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
With the rapid development of Artificial Intelligence (AI) and the Internet of Vehicles (IoV),
there is an increasing demand for deploying various intelligent applications on vehicles …

Joint wireless resource and computation offloading optimization for energy efficient internet of vehicles

D Pliatsios, P Sarigiannidis, TD Lagkas… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm, which is expected to be an integral
component of beyond-fifth-generation and sixth-generation mobile networks. However, the …

Matching-based task offloading for vehicular edge computing

P Liu, J Li, Z Sun - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicular edge computing has emerged as a promising technology to accommodate the
tremendous demand for data storage and computational resources in vehicular networks. By …

Adaptive learning-based task offloading for vehicular edge computing systems

Y Sun, X Guo, J Song, S Zhou, Z Jiang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The vehicular edge computing system integrates the computing resources of vehicles, and
provides computing services for other vehicles and pedestrians with task offloading …

An information-centric in-network caching scheme for 5G-enabled internet of connected vehicles

C Wang, C Chen, QQ Pei, Z Jiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the increasing on-board demand for intelligent connected vehicles (ICVs), the fifth-
generation (5G) wireless systems are being massively utilized in vehicular networks. As an …

Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks

M Khayyat, IA Elgendy, A Muthanna… - IEEE …, 2020 - ieeexplore.ieee.org
The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

Joint load balancing and offloading in vehicular edge computing and networks

Y Dai, D Xu, S Maharjan… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The emergence of computation intensive and delay sensitive on-vehicle applications makes
it quite a challenge for vehicles to be able to provide the required level of computation …

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 …