DNN Partition and Offloading Strategy with Improved Particle Swarm Genetic Algorithm in VEC

C Li, L Chai, K Jiang, Y Zhang, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a novel computing paradigm, which is designed to
satisfy the growing computation and communication needs of vehicle systems. With the …

Toward reliable dnn-based task partitioning and offloading in vehicular edge computing

C Liu, K Liu - IEEE Transactions on Consumer Electronics, 2023 - ieeexplore.ieee.org
Modern vehicles have become typical consumer electronics with the development of
sensing, transmission, and computation technologies. The emerging intelligent …

Deep reinforcement learning for shared offloading strategy in vehicle edge computing

X Peng, Z Han, W Xie, C Yu, P Zhu, J Xiao… - IEEE Systems …, 2022 - ieeexplore.ieee.org
Vehicular edge computing (VEC) effectively reduces the computing load of vehicles by
offloading computing tasks from vehicle terminals to edge servers. However, offloading of …

[HTML][HTML] Task-offloading strategy based on performance prediction in vehicular edge computing

F Zeng, J Tang, C Liu, X Deng, W Li - Mathematics, 2022 - mdpi.com
In vehicular edge computing, network performance and computing resources dynamically
change, and vehicles should find the optimal strategy for offloading their tasks to servers to …

Cooperative computational offloading in mobile edge computing for vehicles: A model-based dnn approach

S Munawar, Z Ali, M Waqas, S Tu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Many advancements are being made in vehicular networks, such as self-driving, dynamic
route scheduling, real-time traffic condition monitoring, and on-board infotainment services …

[HTML][HTML] Deep reinforcement learning based offloading decision algorithm for vehicular edge computing

X Hu, Y Huang - PeerJ Computer Science, 2022 - peerj.com
Task offloading decision is one of the core technologies of vehicular edge computing.
Efficient offloading decision can not only meet the requirements of complex vehicle tasks in …

Intelligent task offloading algorithm for mobile edge computing in vehicular networks

Y Cui, Y Liang, R Wang - 2020 IEEE 91st vehicular technology …, 2020 - ieeexplore.ieee.org
Based on the research of network and computing, while considering the delay of vehicular
networks, this paper proposes an intelligent task offloading framework that can dynamically …

[HTML][HTML] Task Offloading Decision-Making Algorithm for Vehicular Edge Computing: A Deep-Reinforcement-Learning-Based Approach

W Shi, L Chen, X Zhu - Sensors, 2023 - mdpi.com
Efficient task offloading decision is a crucial technology in vehicular edge computing, which
aims to fulfill the computational performance demands of complex vehicular tasks with …

Adaptive task offloading in vehicular edge computing networks based on deep reinforcement learning

R Shuai, L Wang, S Guo… - 2021 IEEE/CIC …, 2021 - ieeexplore.ieee.org
To support the delay-sensitive application for vehicular communications, edge servers are
adopted and deployed in the roadside units to provide abundant computing resources for …

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 …