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 …

Dynamic offloading scheduling scheme for MEC-enabled vehicular networks

H Wang, X Li, H Ji, H Zhang - 2018 IEEE/CIC International …, 2018 - ieeexplore.ieee.org
The incorporation of mobile edge computing (MEC) into vehicular networks is an inspiring
approach to meet the explosive vehicular services demands. The mobile vehicles could …

Computation offloading scheme to improve qoe in vehicular networks with mobile edge computing

Q Liu, Z Su, Y Hui - 2018 10th International Conference on …, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a new paradigm to improve the quality of vehicular
services by providing computation offloading close to vehicular terminals (VTs). However …

Joint optimization of offloading and resource allocation in vehicular networks with mobile edge computing

J Zhou, F Wu, K Zhang, Y Mao… - 2018 10th International …, 2018 - ieeexplore.ieee.org
As a typical application of the technology of Internet of Things (IoT), Internet of Vehicle (IoV)
is facing the explosive computation demands and restrict delay constrains. Vehicular …

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 …

Mobile-edge computing for vehicular networks: A promising network paradigm with predictive off-loading

K Zhang, Y Mao, S Leng, Y He… - IEEE vehicular …, 2017 - ieeexplore.ieee.org
Cloud-based vehicular networks are a promising paradigm to improve vehicular services
through distributing computation tasks between remote clouds and local vehicular terminals …

A probabilistic approach for cooperative computation offloading in MEC-assisted vehicular networks

P Dai, K Hu, X Wu, H Xing, F Teng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been an effective paradigm for supporting computation-
intensive applications by offloading resources at network edge. Especially in vehicular …

An efficient offloading algorithm based on support vector machine for mobile edge computing in vehicular networks

S Wu, W Xia, W Cui, Q Chao, Z Lan… - 2018 10th …, 2018 - ieeexplore.ieee.org
In vehicular networks, Mobile Edge Computing (MEC) is applied to meet the offloading
demand from vehicles. However, the mobility of vehicles may increase the offloading delay …

Efficient mobility-aware task offloading for vehicular edge computing networks

C Yang, Y Liu, X Chen, W Zhong, S Xie - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicular networks are facing the challenges to support ubiquitous connections and high
quality of service for numerous vehicles. To address these issues, mobile edge computing …

Deep-reinforcement-learning-based distributed computation offloading in vehicular edge computing networks

L Geng, H Zhao, J Wang, A Kaushik… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicular edge computing has emerged as a promising paradigm by offloading computation-
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …