Deep reinforcement learning for shared offloading strategy in vehicle edge computing

A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches

P Peng, W Lin, W Wu, H Zhang, S Peng, Q Wu… - Computer Science …, 2024 - Elsevier
Driven by the demand of time-sensitive and data-intensive applications, edge computing
has attracted wide attention as one of the cornerstones of modern service architectures. An …
相关文章

DRL Connects Lyapunov in Delay and Stability Optimization for Offloading Proactive Sensing Tasks of RSUs

W Zhao, K Shi, Z Liu, X Wu, X Zheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The integration of Roadside Units (RSUs) is vital for the development of autonomous driving
technologies. Challenges arise from sinking computing capabilities into RSUs and vehicles …
被引用次数：4 相关文章 所有 4 个版本

Deadline-aware task offloading in vehicular networks using deep reinforcement learning

MK Farimani, S Karimian-Aliabadi… - Expert Systems with …, 2024 - Elsevier
Smart vehicles have a rising demand for computation resources, and recently vehicular
edge computing has been recognized as an effective solution. Edge servers deployed in …
被引用次数：1 相关文章
[HTML] wiley.comFull View

A computation offloading method with distributed double deep Q‐network for connected vehicle platooning with vehicle‐to‐infrastructure communications

Y Shi, J Chu, X Sun, S Ning - IET Intelligent Transport Systems, 2024 - Wiley Online Library
Current connected vehicle applications, such as platooning require heavy‐load computing
capability. Although mobile edge computing (MEC) servers connected to the roadside …
被引用次数：1 相关文章 所有 2 个版本
[PDF] ieee.org

Federated Double Deep Q-learning Based Computation Offloading in Mobility-Aware Vehicle Clusters

W Ye, K Zheng, Y Wang, Y Tang - IEEE Access, 2023 - ieeexplore.ieee.org
On the edge side of internet of vehicles (IoV), mobile edge computing (MEC) servers with
certain computational resources are deployed to provide computational service for vehicles …
被引用次数：1 相关文章 所有 2 个版本

Trusted and Efficient Task Offloading in Vehicular Edge Computing Networks

H Guo, X Chen, X Zhou, J Liu - IEEE Transactions on Cognitive …, 2024 - ieeexplore.ieee.org
To meet the computation-intensive and delay-sensitive requirements in smart driving,
vehicular edge computing (VEC), which offloads the vehicles' tasks to neighbor roadside …
相关文章

Deep Reinforcement Learning Based Computation Offloading in UAV-Assisted Vehicular Edge Computing Networks

J Yan, X Zhao, Z Li - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is considered to be a key technology to improve the
processing efficiency of computing tasks for the Internet of Vehicles (IoV). Using roadside …
相关文章

Joint optimization of UAV-WPT and mixed task offloading strategies with shared mode in SAG-PIoT: A MAD4PG approach

Y Chen, X Shen, P Zhang, S Lu, L Wang, Z Wu, X Xie - Internet of Things, 2023 - Elsevier
Abstract The Space-Air-Ground Power Internet of Things (SAG-PIoT) is a promising
paradigm for the development of emerging smart grid systems, and Unmanned Aerial …
被引用次数：1 相关文章

A mobility-aware task scheduling by hybrid PSO and GA for mobile edge computing

Y Sang, J Wei, Z Zhang, B Wang - Cluster Computing, 2024 - Springer
Mobile edge computing (MEC) is considered one of the key technologies for large-scale
network services. Task scheduling helps to improve the task completion rate of MEC, by …
相关文章

Cost-effective task partial offloading and resource allocation for multi-vehicle and multi-MEC on B5G/6G edge networks

D Cao, N Gu, M Wu, J Wang - Ad Hoc Networks, 2024 - Elsevier
Abstract The Beyond 5th Generation/6th Generation (B5G/6G) wireless communication
technology, characterized by ultra-low latency and ultra-multiple connections, and B5G/6G …
相关文章