Online offloading scheduling and resource allocation algorithms for vehicular edge computing system

Z Wang, S Zheng, Q Ge, K Li - IEEE Access, 2020 - ieeexplore.ieee.org
To accommodate the exponentially increasing computation demands of vehicle-based
applications, vehicular edge computing (VEC) system was introduced. This paper considers …

Towards Efficient Task Offloading with Dependency Guarantees in Vehicular Edge Networks through Distributed Deep Reinforcement Learning

H Liu, W Huang, DI Kim, S Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The proliferation of computation-intensive and delay-sensitive applications in the Internet of
Vehicles (IoV) poses great challenges to resource-constrained vehicles. To tackle this issue …

Deep Reinforcement Learning Based Computation Offloading in UAV-Assisted Vehicular Edge Computing Networks

J Yan, X Zhao, Z Li - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is considered to be a key technology to improve the
processing efficiency of computing tasks for the Internet of Vehicles (IoV). Using roadside …

Deep-reinforcement-learning-based offloading scheduling for vehicular edge computing

W Zhan, C Luo, J Wang, C Wang, G Min… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a new computing paradigm that has great potential to
enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle …

Deep Reinforcement Learning Based on Actor-Critic for Task Offloading in Vehicle Edge Computing

B Wang, L Liu, J Wang - 2023 IEEE International Symposium …, 2023 - ieeexplore.ieee.org
With the rapid advancement of the Internet of Vehicles (IoV), IoV is facing the challenge of
providing connectivity and high-quality services for vehicles. Mobile edge computing (MEC) …

An efficient distributed task offloading scheme for vehicular edge computing networks

MS Bute, P Fan, L Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the recent advancement of vehicular ad-hoc networks (VANETs) or the internet of
vehicles (IoVs), vehicles are getting more powerful and generating huge amount of traffic …

RAVEN: Resource Allocation using Reinforcement Learning for Vehicular Edge Computing Networks

Z Yanhao, NV Abhishek… - IEEE Communications …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) enables vehicles to offload tasks to the road side units
(RSUs) to improve the task performance and user experience. However, blindly offloading …

[PDF][PDF] A Context-aware Task Offloading Scheme in Collaborative Vehicular Edge Computing Systems.

Z Jin, C Zhang, G Zhao, Y Jin, L Zhang - KSII Transactions on Internet & …, 2021 - itiis.org
With the development of mobile edge computing (MEC), some late-model application
technologies, such as self-driving, augmented reality (AR) and traffic perception, emerge as …

On An Intelligent Task Offloading Model to Jointly Optimize Latency and Energy for Electric Connected Vehicles

B Mao, J Qiu, N Kato - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
With modern Electric Connected Vehicles (ECVs) becoming more intelligent and
entertaining, the Multi-access Edge Computing (MEC) servers deployed near the Road Side …

Result return aware offloading scheme in vehicular edge networks for IoT

W Huang, K Ota, M Dong, T Wang, S Zhang… - Computer …, 2020 - Elsevier
With the development of microprocessor technology, massive IoT devices are deployed in
smart cities which promotes numerous supervisory control and data acquisition (SCADA) …