Task offloading method of internet of vehicles based on cloud-edge computing

Y Sun, Z Wu, D Shi, X Hu - 2022 IEEE International Conference …, 2022 - ieeexplore.ieee.org
Along with the development of technology and transportation, the internet of vehicles (IoV)
has emerged. However, as the number of vehicles on the road increases, the number of …

Game theory-based task offloading and resource allocation for vehicular networks in edge-cloud computing

Q Jiang, X Xu, Q He, X Zhang, F Dai… - … Conference on Web …, 2021 - ieeexplore.ieee.org
With the development of the vehicular network (VN), emerging driver assistance applications
are adhibited in daily life. Commonly, edge computing is adopted to satisfy the timeliness …

Collaborative container-based parked vehicle edge computing framework for online task offloading

K Nguyen, S Drew, C Huang… - 2020 IEEE 9th …, 2020 - ieeexplore.ieee.org
As most vehicles spend over 95% of their time in the parking lots, the powerful computing
resources of parked vehicles (PVs) are underutilized, that can be considered as available …

Distributed task offloading for large-scale vec systems: A multi-agent deep reinforcement learning method

Y Lu, D Han, X Wang, Q Gao - 2022 14th International …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising technology to meet the ultra-low delay
requirements of many emerging Internet of Vehicles (IoV) resource-intensive tasks. Based …

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 …

Mobility and dependency-aware task offloading for intelligent assisted driving in vehicular edge computing networks

Y Li, C Yang, X Chen, Y Liu - Vehicular Communications, 2024 - Elsevier
Intelligent assisted driving is an important application in vehicular edge computing networks
(VECNs). In the intelligent transportation system (ITS), a group of moving vehicle users need …

An energy-efficient data offloading strategy for 5G-enabled vehicular edge computing networks using double deep Q-network

K Moghaddasi, S Rajabi… - Wireless Personal …, 2023 - Springer
In the era of fifth-generation (5G)-enabled vehicular edge computing (VEC), efficient data
offloading strategies are essential. The complexities inherent in this environment, such as …

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 …

Flexedge: Digital twin-enabled task offloading for UAV-aided vehicular edge computing

B Li, W Xie, Y Ye, L Liu, Z Fei - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Integrating unmanned aerial vehicles (UAVs) into vehicular networks have shown high
potentials in affording intensive computing tasks. In this paper, we study the digital twin …

[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 …