S Xu, C Guo, RQ Hu, Y Qian - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
With the emergence of computation-intensive vehicular applications, computation offloading based on mobile-edge computing (MEC) has become a promising paradigm in resource …
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 …
J Shi, J Du, Y Shen, J Wang, J Yuan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is an effective method to increase the computing capability of vehicles, where vehicles share their idle computing resources with each other. However …
P Lang, D Tian, X Duan, J Zhou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Facing the requirements of intelligent vehicles for massive data processing, vehicular edge computing (VEC) utilizes computing resources deployed on the roadside infrastructure to …
The development of vehicular Internet of Things (IoT) applications, such as E-Transport, Augmented Reality, and Virtual Reality are growing progressively. The mobility aware …
X Huang, D Ye, R Yu, L Shu - IEEE/CAA Journal of Automatica …, 2020 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has been envisioned as an important application of fog computing in vehicular networks. Parked vehicles with embedded computation resources …
Smart vehicles are expected to be equipped with high-dimensional, resource-intensive applications, including platoon control, augmented reality supported gaming, AI-based …
T Xiao, C Chen, Q Pei, HH Song - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The rapid advancement of intelligent vehicles is deemed crucial to the emergence of diverse compute-intensive applications of assisted driving, which consist of automatic driving, speed …
G Ma, X Wang, M Hu, W Ouyang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Computation offloading is considered as a promising method to improve computation performance of Intelligent Vehicles (IVs), where IVs can offload resource-hungry …