Energy-efficient cooperative offloading for edge computing-enabled vehicular networks

H Cho, Y Cui, J Lee - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Edge computing technology has great potential to improve various computation-intensive
applications in vehicular networks by providing sufficient computation resources for vehicles …

Dynamic Offloading Method for Mobile Edge Computing of Internet of Vehicles Based on Multi-Vehicle Users and Multi-MEC Servers

X Dang, L Su, Z Hao, X Shang - Electronics, 2022 - mdpi.com
With the continuous development of intelligent transportation system technology, vehicle
users have higher and higher requirements for low latency and high service quality of task …

A Hybrid Deep Reinforcement Learning Approach for Jointly Optimizing Offloading and Resource Management in Vehicular Networks

CL Chen, B Bhargava, V Aggarwal… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Satisfying the quality of service of data-intensive autonomous driving applications has
become challenging. In this work, we propose a novel methodology that optimizes …

MESON: A mobility-aware dependent task offloading scheme for urban vehicular edge computing

L Zhao, E Zhang, S Wan, A Hawbani… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing
(MEC) in road scenarios. One key technology of VEC is task offloading, which allows …

Toward reliable DNN-based task partitioning and offloading in vehicular edge computing

C Liu, K Liu - IEEE Transactions on Consumer Electronics, 2023 - ieeexplore.ieee.org
Modern vehicles have become typical consumer electronics with the development of
sensing, transmission, and computation technologies. The emerging intelligent …

Deep reinforcement learning based offloading decision algorithm for vehicular edge computing

X Hu, Y Huang - PeerJ Computer Science, 2022 - peerj.com
Task offloading decision is one of the core technologies of vehicular edge computing.
Efficient offloading decision can not only meet the requirements of complex vehicle tasks in …

Efficient task offloading for MEC-enabled vehicular networks: a non-cooperative game theoretic approach

MD Hossain, S Khanal, EN Huh - 2021 Twelfth International …, 2021 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a new leading technology to enhance the vehicular
performance through task offloading where resource-confined vehicles offload their …

Reinforcement-Learning-Based Deadline Constrained Task Offloading Schema for Energy Saving in Vehicular Edge Computing System

HK Vo, TH Binh, TH Hai, BM Nguyen… - … Joint Conference on …, 2023 - ieeexplore.ieee.org
In the age of the ever-growing number of tasks generated from the Internet of Things (IoT)
devices, one of the most crucial problems with enhancing the Quality of Service in multi …

Deep Reinforcement Learning‐Based Task Offloading for Parked Vehicle Cooperation in Vehicular Edge Computing

H Zhao, J Hua, Z Zhang, J Zhu - Mobile Information Systems, 2022 - Wiley Online Library
Vehicular edge computing (VEC) has greatly enhanced the quality of vehicle service with
low latency and high reliability. However, in some areas not covered by roadside …

A distributed dependency-aware offloading scheme for vehicular edge computing based on policy gradient

H Liu, H Zhao, L Geng, Y Wang… - 2021 8th IEEE …, 2021 - ieeexplore.ieee.org
The proliferation of smart transportation has significantly promoted explosive growth of the
Internet of Vehicles (IoV). Especially, with the rapid development of the 5-th generation …