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 …
offloading computing tasks from vehicle terminals to edge servers. However, offloading of …
Task offloading for vehicular edge computing with edge-cloud cooperation
Vehicular edge computing (VEC) is emerging as a novel computing paradigm to meet low
latency demands for computation-intensive vehicular applications. However, most existing …
latency demands for computation-intensive vehicular applications. However, most existing …
Deep Reinforcement Learning-Based Task Offloading for Vehicular Edge Computing With Flexible RSU-RSU Cooperation
W Fan, Y Zhang, G Zhou, Y Liu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Vehicle edge computing (VEC) acts as an enhancement to provide low latency and low
energy consumption for internet of vehicles (IoV) applications. Mobility of vehicles and load …
energy consumption for internet of vehicles (IoV) applications. Mobility of vehicles and load …
Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing
B Lin, K Lin, C Lin, Y Lu, Z Huang, X Chen - Journal of Cloud Computing, 2021 - Springer
Abstract Connected and Automated Vehicle (CAV) is a transformative technology that has
great potential to improve urban traffic and driving safety. Electric Vehicle (EV) is becoming …
great potential to improve urban traffic and driving safety. Electric Vehicle (EV) is becoming …
Task-offloading strategy based on performance prediction in vehicular edge computing
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 …
change, and vehicles should find the optimal strategy for offloading their tasks to servers to …
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 …
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …
Computation offloading and tasks scheduling for the internet of vehicles in edge computing: A deep reinforcement learning-based pointer network approach
X Ju, S Su, C Xu, H Wang - Computer Networks, 2023 - Elsevier
Abstract In the Internet of Vehicles, vehicles can offload computation tasks to edge servers
for execution. So, execution delay of tasks and energy consumption of vehicles can be …
for execution. So, execution delay of tasks and energy consumption of vehicles can be …
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 …
satisfy the growing computation and communication needs of vehicle systems. With the …
Mobile edge computing task distribution and offloading algorithm based on deep reinforcement learning in internet of vehicles
J Wang, L Wang - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Mobile edge computing has been deeply integrated with internet of vehicles (IoV) due to its
efficient computing capabilities close to devices. However, the inefficiency of storage and …
efficient computing capabilities close to devices. However, the inefficiency of storage and …
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 …
Efficient offloading decision can not only meet the requirements of complex vehicle tasks in …
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