Priority-aware task offloading in vehicular fog computing based on deep reinforcement learning

J Shi, J Du, J Wang, J Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has been expected as a promising scheme that can increase
the computational capability of vehicles without relying on servers. Comparing with …

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 …

When vehicular fog computing meets autonomous driving: Computational resource management and task offloading

Z Zhou, H Liao, X Wang, S Mumtaz… - IEEE Network, 2020 - ieeexplore.ieee.org
Autonomous driving has the potential to make transportation systems safer, greener and
more efficient. To realize autonomous driving, a great deal of in-car cutting-edge …

Resource allocation for vehicular fog computing using reinforcement learning combined with heuristic information

S Lee, SK Lee - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) has emerged as a key component of smart cities. Connected
vehicles are increasingly processing real-time data to respond immediately to user requests …

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 …

A collaborative computation and offloading for compute-intensive and latency-sensitive dependency-aware tasks in dew-enabled vehicular fog computing: A federated …

K Mishra, GNV Rajareddy, U Ghugar… - … on Network and …, 2023 - ieeexplore.ieee.org
The demand for vehicular networks is prolifically emerging as it supports advancing in
capabilities and qualities of vehicle services. However, this vehicular network cannot solely …

Mobile vehicles as fog nodes for latency optimization in smart cities

C Tang, X Wei, C Zhu, Y Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The advent of 5G technologies enables highly anticipated prospect of the internet of things
in smart cities. Smart terminals become a necessity with increasing number of applications …

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 …

A distributed algorithm for task offloading in vehicular networks with hybrid fog/cloud computing

Z Liu, P Dai, H Xing, Z Yu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Fog computing has been an effective paradigm of real-time applications in the IoT area,
which enables task offloading at network edge devices. Particularly, many emerging …

FedDOVe: A Federated Deep Q-learning-based Offloading for Vehicular fog computing

V Sethi, S Pal - Future Generation Computer Systems, 2023 - Elsevier
Abstract Connected Autonomous Vehicles (CAVs) aim to provide various smart
transportation applications which have computation-intensive tasks. The vehicles having …