Analytical offloading design for mobile edge computing-based smart internet of vehicle

J Lu, L Chen, J Xia, F Zhu, M Tang, C Fan… - EURASIP journal on …, 2022 - Springer
In this paper, we investigate how to analytically design an analytical offloading strategy for a
multiuser mobile edge computing (MEC)-based smart internet of vehicle (IoV), where there …

Joint computation offloading and data caching in multi-access edge computing enabled internet of vehicles

L Liu, X Yuan, N Zhang, D Chen, K Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Internet of Vehicles (IoV) has attracted global research interests across extensive
applications. Due to the significant increase in the number of vehicles accessing the Internet …

A multihop task offloading decision model in MEC-enabled internet of vehicles

C Chen, Y Zeng, H Li, Y Liu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
As a new network technology, mobile-edge computing (MEC) combined with the Internet of
Vehicles (IoV) can effectively improve the efficiency of task computing and offloading …

DQN-based mobile edge computing for smart Internet of vehicle

L Zhang, W Zhou, J Xia, C Gao, F Zhu, C Fan… - EURASIP journal on …, 2022 - Springer
In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart Internet
of vehicle (IoV) network, where one edge server can help accomplish the intensive …

Joint wireless resource and computation offloading optimization for energy efficient internet of vehicles

D Pliatsios, P Sarigiannidis, TD Lagkas… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm, which is expected to be an integral
component of beyond-fifth-generation and sixth-generation mobile networks. However, the …

Efficient multi-vehicle task offloading for mobile edge computing in 6g networks

Y Chen, F Zhao, X Chen, Y Wu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the development of 6G wireless communication technologies, various resource-
intensive and delay-sensitive vehicle application tasks are generated. These application …

Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks

Y Liu, H Yu, S Xie, Y Zhang - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …

Compound model of task arrivals and load-aware offloading for vehicular mobile edge computing networks

L Li, H Zhou, SX Xiong, J Yang, Y Mao - IEEE Access, 2019 - ieeexplore.ieee.org
As autonomous and connected vehicles are becoming a reality, mobile-edge computing
(MEC) off-loading provides a promising paradigm to trade off between the long latency of …

Task offloading with task classification and offloading nodes selection for MEC-enabled IoV

R Zhang, L Wu, S Cao, X Hu, S Xue, D Wu… - ACM Transactions on …, 2021 - dl.acm.org
The Mobile Edge Computing (MEC)-based task offloading in the Internet of Vehicles (IoV)
scenario, which transfers computational tasks to mobile edge nodes and fixed edge nodes …

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 …