Joint offloading decision and resource allocation for vehicular fog-edge computing networks: A contract-stackelberg approach

Y Li, B Yang, H Wu, Q Han, C Chen… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the popularity of mobile devices and development of computationally intensive
applications, researchers are focusing on offloading computation to the mobile-edge …

Joint communication and computation resource allocation in fog-based vehicular networks

X Zhang, M Peng, S Yan, Y Sun - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
To satisfy the low-latency requirements of emerging computation-intensive vehicular
services, offloading these services to edge or cloud servers has been recognized as an …

Contract-based computing resource management via deep reinforcement learning in vehicular fog computing

J Zhao, M Kong, Q Li, X Sun - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicle fog computing (VFC) is proposed as a solution that can significantly reduce the task
processing overload of base station during the peak time, where the vehicle as a fog node …

CODE-V: Multi-hop computation offloading in Vehicular Fog Computing

MM Hussain, MMS Beg - Future Generation Computer Systems, 2021 - Elsevier
Abstract Vehicular Fog Computing (VFC) is an extension of fog computing in Intelligent
Transportation Systems (ITS). It is an emerging computing model that leverages latency …

Optimal delay constrained offloading for vehicular edge computing networks

K Zhang, Y Mao, S Leng, S Maharjan… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
The increasing number of smart vehicles and their resource hungry applications pose new
challenges in terms of computation and processing for providing reliable and efficient …

A novel contract theory-based incentive mechanism for cooperative task-offloading in electrical vehicular networks

SMA Kazmi, TN Dang, I Yaqoob… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The proliferation of compute-intensive services in next-generation vehicular networks will
impose an unprecedented computation demand to meet stringent latency and resource …

Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks

Y Liu, H Yu, S Xie, Y Zhang - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …

Many-to-many task offloading in vehicular fog computing: A multi-agent deep reinforcement learning approach

Z Wei, B Li, R Zhang, X Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has emerged as a promising solution to mitigate vehicular
network computation load. In the hierarchical VFC, vehicles are employed as mobile fog …

Energy-latency tradeoff for dynamic computation offloading in vehicular fog computing

R Yadav, W Zhang, O Kaiwartya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular Fog Computing (VFC) provides solutions to relieves overload cloudlet nodes,
reduces service latency during peak times, and saves energy for battery-powered cloudlet …

Computation resource allocation and task assignment optimization in vehicular fog computing: A contract-matching approach

Z Zhou, P Liu, J Feng, Y Zhang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has emerged as a promising solution to relieve the overload
on the base station and reduce the processing delay during the peak time. The computation …