Task offloading in vehicular edge computing networks via deep reinforcement learning
Given the rapid increase of various applications in vehicular networks, it is crucial to
consider a flexible architecture to improve the Quality of Service (QoS). Utilizing Multi-access …
consider a flexible architecture to improve the Quality of Service (QoS). Utilizing Multi-access …
Task offloading method of edge computing in internet of vehicles based on deep reinforcement learning
D Zhang, L Cao, H Zhu, T Zhang, J Du, K Jiang - Cluster Computing, 2022 - Springer
Compared with the traditional network tasks, the emerging Internet of Vehicles (IoV)
technology has higher requirements for network bandwidth and delay. However, due to the …
technology has higher requirements for network bandwidth and delay. However, due to the …
An optimal resource allocation mechanism in vehicular MEC systems
G Hong, Q Wen, W Su, P Wu - 2019 International Conference …, 2019 - ieeexplore.ieee.org
Task offloading in vehicular networks is an effective technology to promote vehicular service
quality through offloading computation tasks to remote servers. In order to reduce task …
quality through offloading computation tasks to remote servers. In order to reduce task …
Deep reinforcement learning-based computation offloading in vehicular edge computing
Inspired by mobile edge computing (MEC), vehicular edge computing (VEC) enables
vehicle terminals to support resource-hungry on-vehicle applications with significantly lower …
vehicle terminals to support resource-hungry on-vehicle applications with significantly lower …
A collaborative task offloading scheme in vehicular edge computing
The increase of mobile applications in the internet of vehicles (IoVs), necessitates the
demand for higher computation capabilities. Vehicles can transfer related applications to …
demand for higher computation capabilities. Vehicles can transfer related applications to …
Reinforcement learning based tasks offloading in vehicular edge computing networks
S Cao, D Liu, C Dai, C Wang, Y Yang, W Zhang… - Computer Networks, 2023 - Elsevier
With the rapid development of autonomous and intelligent techniques, vehicles are currently
equipped with computation and communication modules for satisfying clients' on-vehicle …
equipped with computation and communication modules for satisfying clients' on-vehicle …
Double deep Q-network based dynamic framing offloading in vehicular edge computing
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 …
there is an increasing demand for deploying various intelligent applications on vehicles …
Research on a task offloading strategy for the internet of vehicles based on reinforcement learning
S Xiao, S Wang, J Zhuang, T Wang, J Liu - Sensors, 2021 - mdpi.com
Today, vehicles are increasingly being connected to the Internet of Things, which enables
them to obtain high-quality services. However, the numerous vehicular applications and time …
them to obtain high-quality services. However, the numerous vehicular applications and time …
Game theory-based task offloading and resource allocation for vehicular networks in edge-cloud computing
With the development of the vehicular network (VN), emerging driver assistance applications
are adhibited in daily life. Commonly, edge computing is adopted to satisfy the timeliness …
are adhibited in daily life. Commonly, edge computing is adopted to satisfy the timeliness …
Task offloading strategy based on reinforcement learning computing in edge computing architecture of internet of vehicles
K Wang, X Wang, X Liu, A Jolfaei - IEEE Access, 2020 - ieeexplore.ieee.org
With the rapid increase of vehicles, the explosive growth of data flow and the increasing
shortage of spectrum resources, the performance of existing task offloading scheme is poor …
shortage of spectrum resources, the performance of existing task offloading scheme is poor …