Spectral graph theory-based virtual network embedding for vehicular fog computing: A deep reinforcement learning architecture

N Chen, P Zhang, N Kumar, CH Hsu… - Knowledge-Based …, 2022 - Elsevier
In the intelligent transportation system (ITS), the vehicular fog computing network (VFCN)
can effectively alleviate the bottleneck existing in the cloud computing framework, such as …

Dynamic resource orchestration for service capability maximization in fog-enabled connected vehicle networks

DN Vu, NN Dao, W Na, S Cho - IEEE Transactions on Cloud …, 2020 - ieeexplore.ieee.org
Technological advances in fog computing are precipitating an evolution in conventional
vehicle networks to a new paradigm called fog-enabled connected vehicle networks …

Many-to-many task offloading in vehicular fog computing: A multi-agent deep reinforcement learning approach

Z Wei, B Li, R Zhang, X Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has emerged as a promising solution to mitigate vehicular
network computation load. In the hierarchical VFC, vehicles are employed as mobile fog …

Non-Euclidean graph-convolution virtual network embedding for space–air–ground integrated networks

N Chen, S Shen, Y Duan, S Huang, W Zhang, L Tan - Drones, 2023 - mdpi.com
For achieving seamless global coverage and real-time communications while providing
intelligent applications with increased quality of service (QoS), AI-enabled space–air …

Hierarchical task offloading for vehicular fog computing based on multi-agent deep reinforcement learning

Y Hou, Z Wei, R Zhang, X Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has been expected as a promising architecture that can
make full use of computing resources of idle vehicles to increase computing capability …

Security-aware resource allocation scheme based on DRL in cloud-edge-terminal cooperative vehicular network

Y Zhang, C Jiang, P Zhang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Virtual network embedding (VNE) refers to the process of mapping virtual networks onto
physical networks, which can improve the utilization and flexibility of network resources …

Deep reinforcement learning for computation offloading and caching in fog-based vehicular networks

D Lan, A Taherkordi, F Eliassen… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
The role of fog computing in future vehicular networks is becoming significant, enabling a
variety of applications that demand high computing resources and low latency, such as …

Mobility prediction-based joint task assignment and resource allocation in vehicular fog computing

X Wu, S Zhao, R Zhang, L Yang - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Most recently, vehicular fog computing (VFC) has been regarded as a novel and promising
architecture to effectively reduce the computation time of various vehicular application tasks …

Priority-aware task offloading in vehicular fog computing based on deep reinforcement learning

J Shi, J Du, J Wang, J Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has been expected as a promising scheme that can increase
the computational capability of vehicles without relying on servers. Comparing with …

Multi-target-aware dynamic resource scheduling for cloud-fog-edge multi-tier computing network

P Zhang, N Chen, G Xu, N Kumar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
With the maturity of 5G and Intelligent Transportation Systems (ITS) technologies and the
prospect of Beyond 5G (B5G) and 6G technologies, the limited lifetime and computing of …