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 …

Joint service caching and computation offloading scheme based on deep reinforcement learning in vehicular edge computing systems

Z Xue, C Liu, C Liao, G Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular
performance by introducing both computation offloading and service caching, to resource …

Computation offloading for energy and delay trade-offs with traffic flow prediction in edge computing-enabled iov

X Xu, C Yang, M Bilal, W Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An unprecedented prosperity in artificial intelligence promotes the development of Internet of
Vehicles (IoV). Assisted by edge computing, vehicles enable to offload data to edge servers …

A cluster-based cooperative computation offloading scheme for C-V2X networks

MS Bute, P Fan, G Liu, F Abbas, Z Ding - Ad Hoc Networks, 2022 - Elsevier
The explosive growth of computation-intensive and delay-sensitive applications in vehicular
edge network demands high computation resources and energy. With the cellular-vehicle to …

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 …

[HTML][HTML] Joint offloading decision and resource allocation in vehicular edge computing networks

S Wang, X Song, H Xu, T Song, G Zhang… - Digital Communications …, 2023 - Elsevier
With the rapid development of Intelligent Transportation Systems (ITS), many new
applications for Intelligent Connected Vehicles (ICVs) have sprung up. In order to tackle the …

Harnessing idle edge resources for execution of cloud services: A comprehensive review

AFR Trajano, JN de Souza - Transactions on Emerging …, 2024 - Wiley Online Library
This article presents a comprehensive investigation into voluntary resource sharing at the
edge of the internet for cloud service execution. Through a systematic review, 460 scientific …

Latency and task loss probability for NOMA assisted MEC in mobility-aware vehicular networks

L Li, P Fan - IEEE Transactions on Vehicular Technology, 2022 - ieeexplore.ieee.org
In vehicular networks, task offloading performance for mobile edge computing (MEC) is
highly coupled with the mobility of vehicle terminal (VT), as the VT speed and arrival rate …

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 …

Trust-Based Reliability Enhancements Provisioning with Resilience Under Information Asymmetry in IoV System

Y Lu, G Zhang, X Wang, X Li - IEEE Access, 2023 - ieeexplore.ieee.org
The advent of the Internet of Vehicles (IoV) has sparked strong scholarly interest in the
determination of dependable offloading destinations for tasks. The lack of global information …