Dependency-aware task scheduling in vehicular edge computing

Y Liu, S Wang, Q Zhao, S Du, A Zhou… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) offers a new paradigm to improve vehicular services and
augment the capabilities of vehicles. In this article, we study the problem of task scheduling …

Digital twin-driven vehicular task offloading and IRS configuration in the Internet of Vehicles

X Yuan, J Chen, N Zhang, J Ni, FR Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Digital mymargin Twin (DT) and Intelligent Reflective Surface (IRS), the most two promising
technologies of 6G make the Internet of Vehicles (IoV) more adaptive. However, future …

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 …

BARGAIN-MATCH: A game theoretical approach for resource allocation and task offloading in vehicular edge computing networks

Z Sun, G Sun, Y Liu, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is emerging as a promising architecture of vehicular
networks (VNs) by deploying the cloud computing resources at the edge of the VNs …

Cooperative computation offloading in blockchain-based vehicular edge computing networks

P Lang, D Tian, X Duan, J Zhou… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
As a novel computing paradigm, multiaccess edge computing (MEC) migrates computing
and storage capabilities to edge nodes of the network to meet the requirements of executing …

Federated offloading scheme to minimize latency in MEC-enabled vehicular networks

H Wang, X Li, H Ji, H Zhang - 2018 IEEE Globecom Workshops …, 2018 - ieeexplore.ieee.org
The vehicular networks with mobile edge computing (MEC) provide a promising paradigm to
meet the explosive vehicular computing demands. To further reduce the total latency and …

Energy-efficient task offloading for vehicular edge computing: Joint optimization of offloading and bit allocation

Y Jang, J Na, S Jeong, J Kang - 2020 IEEE 91st vehicular …, 2020 - ieeexplore.ieee.org
With the rapid development of vehicular networks, various applications that require high
computation resources have emerged. To efficiently execute these applications, vehicular …

Joint offloading decision and resource allocation for vehicular fog-edge computing networks: A contract-stackelberg approach

Y Li, B Yang, H Wu, Q Han, C Chen… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the popularity of mobile devices and development of computationally intensive
applications, researchers are focusing on offloading computation to the mobile-edge …

Game-based task offloading and resource allocation for vehicular edge computing with edge-edge cooperation

W Fan, M Hua, Y Zhang, Y Su, X Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) enables task offloading from vehicles to the edge servers
deployed on Road Side Units (RSUs), thus enhancing the task processing performance of …

Joint resource allocation and computation offloading with time-varying fading channel in vehicular edge computing

S Li, S Lin, L Cai, W Li, G Zhu - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is considered as a novel paradigm to enhance the safety
of automated vehicles and intelligent transportation systems (ITS). The computation …