[HTML][HTML] Dynamic task offloading for cloud-assisted vehicular edge computing networks: A non-cooperative game theoretic approach

MD Hossain, T Sultana, MA Hossain, MA Layek… - Sensors, 2022 - mdpi.com
Vehicular edge computing (VEC) is one of the prominent ideas to enhance the computation
and storage capabilities of vehicular networks (VNs) through task offloading. In VEC, the …

Efficient task offloading for MEC-enabled vehicular networks: A non-cooperative game theoretic approach

MD Hossain, S Khanal, EN Huh - 2021 Twelfth International …, 2021 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a new leading technology to enhance the vehicular
performance through task offloading where resource-confined vehicles offload their …

[HTML][HTML] Task Offloading Decision-Making Algorithm for Vehicular Edge Computing: A Deep-Reinforcement-Learning-Based Approach

W Shi, L Chen, X Zhu - Sensors, 2023 - mdpi.com
Efficient task offloading decision is a crucial technology in vehicular edge computing, which
aims to fulfill the computational performance demands of complex vehicular tasks with …

BARGAIN-MATCH: A game theoretical approach for resource allocation and task offloading in vehicular edge computing networks

Z Sun, G Sun, Y Liu, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is emerging as a promising architecture of vehicular
networks (VNs) by deploying the cloud computing resources at the edge of the VNs …

V2V-based task offloading and resource allocation in vehicular edge computing networks

J He, Y Wang, X Du, Z Lu - arXiv preprint arXiv:2112.15065, 2021 - arxiv.org
In the research and application of vehicle ad hoc networks (VANETs), it is often assumed
that vehicles obtain cloud computing services by accessing to roadside units (RSUs) …

Idle-parked vehicles assisted collaborative resource allocation in VEC based on Stackelberg game

J Xue, Q Wang, H Zhang, N An, C An - Ad Hoc Networks, 2023 - Elsevier
With the advent of autonomous vehicles, how to meet the computing demands of vehicles
with computing-intensive and latency-sensitive tasks becomes a challenge. Vehicular Edge …

Task offloading for vehicular edge computing with edge-cloud cooperation

F Dai, G Liu, Q Mo, WH Xu, B Huang - World Wide Web, 2022 - Springer
Vehicular edge computing (VEC) is emerging as a novel computing paradigm to meet low
latency demands for computation-intensive vehicular applications. However, most existing …

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) …

Deep Reinforcement Learning Based Distributed Computation Offloading in Vehicular Edge Computing Networks

L Geng, H Zhao, J Wang, A Kaushik… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicular edge computing has emerged as a promising paradigm by offloading computation-
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …

[HTML][HTML] Computation Offloading and Resource Allocation Based on Game Theory in Symmetric MEC-Enabled Vehicular Networks

K Zhang, J Yang, Z Lin - Symmetry, 2023 - mdpi.com
Due to the rocketing development of the Internet of Vehicles (IoV), the growth of computing-
intensive and latency-sensitive applications brings a challenge to individual vehicles with …