[HTML][HTML] 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 …

[HTML][HTML] Energy-efficient offloading decision-making for mobile edge computing in vehicular networks

X Huang, K Xu, C Lai, Q Chen, J Zhang - EURASIP Journal on Wireless …, 2020 - Springer
Driven by the explosion transmission and computation requirement in 5G vehicular
networks, mobile edge computing (MEC) attracts more attention than centralized cloud …

Joint offloading and resource allocation in vehicular edge computing and networks

Y Dai, D Xu, S Maharjan… - 2018 IEEE global …, 2018 - ieeexplore.ieee.org
The emergence of computation intensive on-vehicle applications poses a significant
challenge to provide the required computation capacity and maintain high performance …

Joint offloading scheduling and resource allocation in vehicular edge computing: A two layer solution

J Gao, Z Kuang, J Gao, L Zhao - IEEE transactions on vehicular …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm for autonomous driving. It can
reduce delay and energy consumption of tasks. The problem of joint task offloading …

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 …

[HTML][HTML] Cross-domain coordination of resource allocation and route planning for the edge computing-enabled multi-connected vehicles

D Xue, Y Guo, N Li, X Song, L Zhang - Journal of Cloud computing, 2023 - Springer
Multi-access edge computing (MEC) has unique interests in processing intensive and delay-
critical computation tasks for vehicular application through computation offloading. However …

Energy consumption and qos-aware co-offloading for vehicular edge computing

W Lv, P Yang, T Zheng, B Yi, Y Ding… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
By deploying computing, storage, and bandwidth resources at the user side, vehicular edge
computing (VEC) provides low-delay services for vehicle users. However, due to the limited …

Federated deep reinforcement learning for task offloading and resource allocation in mobile edge computing-assisted vehicular networks

X Zhao, Y Wu, T Zhao, F Wang, M Li - Journal of Network and Computer …, 2024 - Elsevier
Mobile edge computing (MEC) enables computation intensive applications in the Internet of
Vehicles (IoV) to no longer be limited by device resources. However, the lack of an effective …

Towards fast and energy-efficient offloading for vehicular edge computing

M Su, C Cao, M Dai, J Li, Y Li - 2022 IEEE 28th International …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) has emerged in the Internet of Vehicles (IoV) as a new
paradigm that offloads computation tasks to Road Side Units (RSU) aiming to reduce the …

Computation offloading and resource allocation in failure-aware vehicular edge computing

C Tang, G Yan, H Wu, C Zhu - IEEE Transactions on Consumer …, 2023 - ieeexplore.ieee.org
The advent of Intelligent Cyber-Physical Transportation Systems (ICTS) has not only
accelerated the reformation and evolvement of smart transportation, but also ushered in a …