Deep Reinforcement Learning for Delay-Optimized Task Offloading in Vehicular Fog Computing
Fuente:
arXiv
Guardado en:
| Autores principales: | Toopchinezhad, Mohammad Parsa, Ahmadi, Mahmood |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Machine Learning Approaches for Active Queue Management: A Survey, Taxonomy, and Future Directions
por: Toopchinezhad, Mohammad Parsa, et al.
Publicado: (2024)
por: Toopchinezhad, Mohammad Parsa, et al.
Publicado: (2024)
Reinforcement Learning for Resource Allocation in Vehicular Multi-Fog Computing
por: Akbarzadeh, Mohammad Hadi, et al.
Publicado: (2025)
por: Akbarzadeh, Mohammad Hadi, et al.
Publicado: (2025)
Grey Wolf-Based Task Scheduling in Vehicular Fog Computing Systems
por: Taghizadeh, Maryam, et al.
Publicado: (2024)
por: Taghizadeh, Maryam, et al.
Publicado: (2024)
A Q-Learning Approach for Dynamic Resource Management in Three-Tier Vehicular Fog Computing
por: Ranani, Bahar Mojtabaei, et al.
Publicado: (2026)
por: Ranani, Bahar Mojtabaei, et al.
Publicado: (2026)
Hierarchical Reinforcement Learning for Integrated Cloud-Fog-Edge Computing in IoT Systems
por: Zarei, Ameneh, et al.
Publicado: (2025)
por: Zarei, Ameneh, et al.
Publicado: (2025)
Joint Computing Resource Allocation and Task Offloading in Vehicular Fog Computing Systems Under Asymmetric Information
por: Sun, Geng, et al.
Publicado: (2025)
por: Sun, Geng, et al.
Publicado: (2025)
Autonomous Task Offloading of Vehicular Edge Computing with Parallel Computation Queues
por: Cho, Sungho, et al.
Publicado: (2025)
por: Cho, Sungho, et al.
Publicado: (2025)
Delay-Optimal Forwarding and Computation Offloading for Service Chain Tasks
por: Zhang, Jinkun, et al.
Publicado: (2024)
por: Zhang, Jinkun, et al.
Publicado: (2024)
Multi-Objective Offloading Optimization in MEC and Vehicular-Fog Systems: A Distributed-TD3 Approach
por: Wakgra, Frezer Guteta, et al.
Publicado: (2024)
por: Wakgra, Frezer Guteta, et al.
Publicado: (2024)
Meeting Deadlines in Motion: Deep RL for Real-Time Task Offloading in Vehicular Edge Networks
por: Paknejad, Mahsa, et al.
Publicado: (2025)
por: Paknejad, Mahsa, et al.
Publicado: (2025)
Quality-Aware Task Offloading for Cooperative Perception in Vehicular Edge Computing
por: Zaki, Amr M., et al.
Publicado: (2024)
por: Zaki, Amr M., et al.
Publicado: (2024)
Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation
por: Xie, Yu, et al.
Publicado: (2024)
por: Xie, Yu, et al.
Publicado: (2024)
A Dynamic Improvement Framework for Vehicular Task Offloading
por: Li, Qianren, et al.
Publicado: (2025)
por: Li, Qianren, et al.
Publicado: (2025)
Structural Knowledge-Driven Meta-Learning for Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computing
por: Sun, Ruijin, et al.
Publicado: (2024)
por: Sun, Ruijin, et al.
Publicado: (2024)
MOFCO: Mobility- and Migration-Aware Task Offloading in Three-Layer Fog Computing Environments
por: Mahdizadeh, Soheil, et al.
Publicado: (2025)
por: Mahdizadeh, Soheil, et al.
Publicado: (2025)
AirFogSim: A Light-Weight and Modular Simulator for UAV-Integrated Vehicular Fog Computing
por: Wei, Zhiwei, et al.
Publicado: (2024)
por: Wei, Zhiwei, et al.
Publicado: (2024)
Rotatable RIS-Assisted Edge Computing: Orientation, Task Offloading, and Resource Optimization
por: Li, Bin, et al.
Publicado: (2025)
por: Li, Bin, et al.
Publicado: (2025)
On-Dyn-CDA: A Real-Time Cost-Driven Task Offloading Algorithm for Vehicular Networks with Reduced Latency and Task Loss
por: Paknejad, Mahsa, et al.
Publicado: (2025)
por: Paknejad, Mahsa, et al.
Publicado: (2025)
Lightweight Cluster-Based Federated Learning for Intrusion Detection in Heterogeneous IoT Networks
por: Izadi, Saadat, et al.
Publicado: (2026)
por: Izadi, Saadat, et al.
Publicado: (2026)
Adaptive Meta-Aggregation Federated Learning for Intrusion Detection in Heterogeneous Internet of Things
por: Izadi, Saadat, et al.
Publicado: (2026)
por: Izadi, Saadat, et al.
Publicado: (2026)
Delay-optimal Congestion-aware Routing and Computation Offloading in Arbitrary Network
por: Zhang, Jinkun, et al.
Publicado: (2025)
por: Zhang, Jinkun, et al.
Publicado: (2025)
Energy-Efficient Task Computation at the Edge for Vehicular Services
por: Parastar, Paniz, et al.
Publicado: (2025)
por: Parastar, Paniz, et al.
Publicado: (2025)
VEC-Sim: A Simulation Platform for Evaluating Service Caching and Computation Offloading Policies in Vehicular Edge Networks
por: Wu, Fan, et al.
Publicado: (2024)
por: Wu, Fan, et al.
Publicado: (2024)
A Dynamic Programming Framework for Vehicular Task Offloading with Successive Action Improvement
por: Li, Qianren, et al.
Publicado: (2025)
por: Li, Qianren, et al.
Publicado: (2025)
Deep Reinforcement Learning for Privacy-Preserving Task Offloading in Integrated Satellite-Terrestrial Networks
por: Lan, Wenjun, et al.
Publicado: (2023)
por: Lan, Wenjun, et al.
Publicado: (2023)
Computation Pre-Offloading for MEC-Enabled Vehicular Networks via Trajectory Prediction
por: Zhang, Ting, et al.
Publicado: (2024)
por: Zhang, Ting, et al.
Publicado: (2024)
Hybrid Reinforcement Learning-based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing
por: Xu, Minrui, et al.
Publicado: (2025)
por: Xu, Minrui, et al.
Publicado: (2025)
Federated Learning for Iot/Edge/Fog Computing Systems
por: Hasan, Balqees Talal, et al.
Publicado: (2024)
por: Hasan, Balqees Talal, et al.
Publicado: (2024)
A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback
por: Liu, Zhang, et al.
Publicado: (2025)
por: Liu, Zhang, et al.
Publicado: (2025)
A Centrality Approach to Select Offloading Data Aggregation Points in Vehicular Sensor Networks
por: Moura, Douglas, et al.
Publicado: (2024)
por: Moura, Douglas, et al.
Publicado: (2024)
Power Evaluation of IOT Application Layer Protocols
por: Shahrokhi, Amirhossein, et al.
Publicado: (2024)
por: Shahrokhi, Amirhossein, et al.
Publicado: (2024)
CF-HFC:Calibrated Federated based Hardware-aware Fuzzy Clustering for Intrusion Detection in Heterogeneous IoTs
por: Izadi, Saadat, et al.
Publicado: (2026)
por: Izadi, Saadat, et al.
Publicado: (2026)
UAV/HAP-Assisted Vehicular Edge Computing in 6G: Where and What to Offload?
por: Traspadini, Alessandro, et al.
Publicado: (2022)
por: Traspadini, Alessandro, et al.
Publicado: (2022)
Mobility-Aware Multi-Task Decentralized Federated Learning for Vehicular Networks: Modeling, Analysis, and Optimization
por: Chen, Dongyu, et al.
Publicado: (2025)
por: Chen, Dongyu, et al.
Publicado: (2025)
LIMO: Load-balanced Offloading with MAPE and Particle Swarm Optimization in Mobile Fog Networks
por: Seraj, Yasaman, et al.
Publicado: (2024)
por: Seraj, Yasaman, et al.
Publicado: (2024)
Optimizing 6G Dense Network Deployment for the Metaverse Using Deep Reinforcement Learning
por: Zhang, Jie, et al.
Publicado: (2025)
por: Zhang, Jie, et al.
Publicado: (2025)
Distributionally Robust Optimization for Computation Offloading in Aerial Access Networks
por: Jiang, Guanwang, et al.
Publicado: (2024)
por: Jiang, Guanwang, et al.
Publicado: (2024)
Cost-Efficient Computation Offloading in SAGIN: A Deep Reinforcement Learning and Perception-Aided Approach
por: Gao, Yulan, et al.
Publicado: (2024)
por: Gao, Yulan, et al.
Publicado: (2024)
DECOFFEE: Decentralized Reinforcement Learning for Time-critical Workload Offloading and Energy Efficiency across the Computing Continuum
por: Giannopoulos, Anastasios, et al.
Publicado: (2026)
por: Giannopoulos, Anastasios, et al.
Publicado: (2026)
Beyond Dedicated-Active: A General Reliability Provisioning Framework for SFC Placement in Fog Computing
por: Doostar, Negin, et al.
Publicado: (2025)
por: Doostar, Negin, et al.
Publicado: (2025)
Ejemplares similares
-
Machine Learning Approaches for Active Queue Management: A Survey, Taxonomy, and Future Directions
por: Toopchinezhad, Mohammad Parsa, et al.
Publicado: (2024) -
Reinforcement Learning for Resource Allocation in Vehicular Multi-Fog Computing
por: Akbarzadeh, Mohammad Hadi, et al.
Publicado: (2025) -
Grey Wolf-Based Task Scheduling in Vehicular Fog Computing Systems
por: Taghizadeh, Maryam, et al.
Publicado: (2024) -
A Q-Learning Approach for Dynamic Resource Management in Three-Tier Vehicular Fog Computing
por: Ranani, Bahar Mojtabaei, et al.
Publicado: (2026) -
Hierarchical Reinforcement Learning for Integrated Cloud-Fog-Edge Computing in IoT Systems
por: Zarei, Ameneh, et al.
Publicado: (2025)