Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks

M Khayyat, IA Elgendy, A Muthanna… - IEEE …, 2020 - ieeexplore.ieee.org
The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

UAV-assisted task offloading in vehicular edge computing networks

X Dai, Z Xiao, H Jiang, JCS Lui - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …

Optimal delay constrained offloading for vehicular edge computing networks

K Zhang, Y Mao, S Leng, S Maharjan… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
The increasing number of smart vehicles and their resource hungry applications pose new
challenges in terms of computation and processing for providing reliable and efficient …

Joint optimization of computation offloading and task scheduling in vehicular edge computing networks

J Sun, Q Gu, T Zheng, P Dong, A Valera, Y Qin - Ieee Access, 2020 - ieeexplore.ieee.org
Resource-intensive applications on smart vehicles is posing difficulties to the use of
traditional cloud computing for computation offloading in vehicular networks. In particular …

Energy-efficient computation offloading in vehicular edge cloud computing

X Li, Y Dang, M Aazam, X Peng, T Chen… - IEEE Access, 2020 - ieeexplore.ieee.org
With the development of electrification, automation, and interconnection of the automobile
industry, the demand for vehicular computing has entered an explosive growth era. Massive …

Task offloading in vehicular edge computing networks via deep reinforcement learning

E Karimi, Y Chen, B Akbari - Computer Communications, 2022 - Elsevier
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 …

[HTML][HTML] Energy-SLA-aware genetic algorithm for edge–cloud integrated computation offloading in vehicular networks

H Materwala, L Ismail, RM Shubair, R Buyya - Future Generation Computer …, 2022 - Elsevier
Abstract Vehicular Ad Hoc Networks (VANET) is an emerging technology that enables a
comfortable, safe, and efficient travel experience by providing mechanisms to execute …

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 …

Computation offloading and resource allocation for cloud assisted mobile edge computing in vehicular networks

J Zhao, Q Li, Y Gong, K Zhang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Computation offloading services provide required computing resources for vehicles with
computation-intensive tasks. Past computation offloading research mainly focused on …

Delay constrained offloading for mobile edge computing in cloud-enabled vehicular networks

K Zhang, Y Mao, S Leng, A Vinel… - 2016 8th International …, 2016 - ieeexplore.ieee.org
Cloud-based vehicular networks is a new paradigm to improve the vehicular services
through distributing computation tasks between remote clouds and local vehicular terminals …