A learning-based approach for vehicle-to-vehicle computation offloading

X Dai, Z Xiao, H Jiang, H Chen, G Min… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Vehicle-to-vehicle (V2V) computation offloading has emerged as a promising solution to
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …

Multiagent deep reinforcement learning for vehicular computation offloading in IoT

X Zhu, Y Luo, A Liu, MZA Bhuiyan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) and intelligent vehicles brings a comfortable
environment for users. Various emerging vehicular applications using artificial intelligence …

Distributed V2V computation offloading based on dynamic pricing using deep reinforcement learning

J Shi, J Du, J Wang, J Yuan - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Vehicular computation offloading is a promising paradigm that improves the computing
capability of vehicles to support autonomous driving and various on-board infotainment …

A Deep-Reinforcement-Learning-Based Computation Offloading With Mobile Vehicles in Vehicular Edge Computing

J Lin, S Huang, H Zhang, X Yang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …

[HTML][HTML] A survey on vehicular task offloading: Classification, issues, and challenges

M Ahmed, S Raza, MA Mirza, A Aziz, MA Khan… - Journal of King Saud …, 2022 - Elsevier
Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …

Delay-optimized V2V-based computation offloading in urban vehicular edge computing and networks

C Chen, L Chen, L Liu, S He, X Yuan, D Lan… - IEEE …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm, driven by recent advancements in
vehicular communications and networking. Meanwhile, the capability and intelligence of …

A novel cost optimization strategy for SDN-enabled UAV-assisted vehicular computation offloading

L Zhao, K Yang, Z Tan, X Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular computation offloading is a well-received strategy to execute delay-sensitive
and/or compute-intensive tasks of legacy vehicles. The response time of vehicular …

DRL-based V2V computation offloading for blockchain-enabled vehicular networks

J Shi, J Du, Y Shen, J Wang, J Yuan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is an effective method to increase the computing capability
of vehicles, where vehicles share their idle computing resources with each other. However …

DRL-based computation offloading with queue stability for vehicular-cloud-assisted mobile edge computing systems

G Ma, X Wang, M Hu, W Ouyang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Computation offloading is considered as a promising method to improve computation
performance of Intelligent Vehicles (IVs), where IVs can offload resource-hungry …

Distributed computation offloading method based on deep reinforcement learning in ICV

C Chen, Y Zhang, Z Wang, S Wan, Q Pei - Applied Soft Computing, 2021 - Elsevier
With the rapid development of Intelligent Connected Vehicles (ICVs), more effective
computation resources optimization schemes in task scheduling are exactly required for …