Copertina

Hierarchical Reinforcement Learning for Integrated Cloud-Fog-Edge Computing in IoT Systems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zarei, Ameneh, Ahmadi, Mahmood, Mardukhi, Farhad
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Networking and Internet Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Deep Reinforcement Learning for Delay-Optimized Task Offloading in Vehicular Fog Computing
di: Toopchinezhad, Mohammad Parsa, et al.
Pubblicazione: (2024)

Grey Wolf-Based Task Scheduling in Vehicular Fog Computing Systems
di: Taghizadeh, Maryam, et al.
Pubblicazione: (2024)

Reinforcement Learning for Resource Allocation in Vehicular Multi-Fog Computing
di: Akbarzadeh, Mohammad Hadi, et al.
Pubblicazione: (2025)

Lightweight Cluster-Based Federated Learning for Intrusion Detection in Heterogeneous IoT Networks
di: Izadi, Saadat, et al.
Pubblicazione: (2026)

Fog Computing& IoT: Overview, Architecture and Applications
di: Gupta, Harshit, et al.
Pubblicazione: (2023)

A Q-Learning Approach for Dynamic Resource Management in Three-Tier Vehicular Fog Computing
di: Ranani, Bahar Mojtabaei, et al.
Pubblicazione: (2026)

CF-HFC:Calibrated Federated based Hardware-aware Fuzzy Clustering for Intrusion Detection in Heterogeneous IoTs
di: Izadi, Saadat, et al.
Pubblicazione: (2026)

Mist-Assisted Federated Learning for Intrusion Detection in Heterogeneous IoT Networks
di: Izadi, Saadat, et al.
Pubblicazione: (2025)

ASA: Adaptive Smart Agent Federated Learning via Device-Aware Clustering for Heterogeneous IoT
di: Salimi, Ali, et al.
Pubblicazione: (2026)

Federated Learning for Iot/Edge/Fog Computing Systems
di: Hasan, Balqees Talal, et al.
Pubblicazione: (2024)

Edge Computing for IoT
di: Hasan, Balqees Talal, et al.
Pubblicazione: (2024)

Dense Moving Fog for Intelligent IoT: Key Challenges and Opportunities
di: Andreev, Sergey, et al.
Pubblicazione: (2018)

Deterministic Task Offloading and Resource Allocation in the IoT-Edge-Cloud Continuum
di: Aghababaiyan, Keyvan, et al.
Pubblicazione: (2026)

Integrating HAPS, LEO, and Terrestrial Networks: A Cost-Performance Study for IoT Connectivity
di: Sant'Ana, Jean Michel de Souza, et al.
Pubblicazione: (2026)

Scalable Deterministic Task Offloading and Resource Allocation in the IoT-Edge-Cloud Continuum
di: Aghababaiyan, Keyvan, et al.
Pubblicazione: (2026)

Uncoordinated Access to Serverless Computing in MEC Systems for IoT
di: Cicconetti, Claudio, et al.
Pubblicazione: (2025)

Improving Remote Patient Monitoring Systems Using a Fog-based IoT Platform with Speech Recognition
di: Baucas, Marc Jayson, et al.
Pubblicazione: (2025)

Reducing Communication Overhead in the IoT-Edge-Cloud Continuum: A Survey on Protocols and Data Reduction Strategies
di: Kreković, Dora, et al.
Pubblicazione: (2024)

A Paradigm For Collaborative Pervasive Fog Computing Ecosystems at the Network Edge
di: Mtibaa, Abderrahmen
Pubblicazione: (2024)

Adaptive Meta-Aggregation Federated Learning for Intrusion Detection in Heterogeneous Internet of Things
di: Izadi, Saadat, et al.
Pubblicazione: (2026)

Talk with the Things: Integrating LLMs into IoT Networks
di: Kalita, Alakesh
Pubblicazione: (2025)

RELIEF: Turning Missing Modalities into Training Acceleration for Federated Learning on Heterogeneous IoT Edge
di: Wu, Beining, et al.
Pubblicazione: (2026)

EdgeLinker: Practical Blockchain-based Framework for Healthcare Fog Applications to Enhance Security in Edge-IoT Data Communications
di: Zarkesh, Mahdi Akbari, et al.
Pubblicazione: (2024)

A Secure Edge Gateway Architecture for Wi-Fi-Enabled IoT
di: Ganiuly, Daniyal, et al.
Pubblicazione: (2025)

Monitoring the Venice Lagoon: an IoT Cloud-Based Sensor Nerwork Approach
di: Campagnaro, Filippo, et al.
Pubblicazione: (2024)

Hybrid Cognitive IoT with Cooperative Caching and SWIPT-EH: A Hierarchical Reinforcement Learning Framework
di: Abdolkhani, Nadia, et al.
Pubblicazione: (2025)

Machine Learning Approaches for Active Queue Management: A Survey, Taxonomy, and Future Directions
di: Toopchinezhad, Mohammad Parsa, et al.
Pubblicazione: (2024)

Energy-Efficient Satellite IoT Optical Downlinks Using Weather-Adaptive Reinforcement Learning
di: Fettes, Ethan, et al.
Pubblicazione: (2025)

Secure Targeted Message Dissemination in IoT Using Blockchain Enabled Edge Computing
di: Mollah, Muhammad Baqer, et al.
Pubblicazione: (2024)

Toward Secure Content-Centric Approaches for 5G-Based IoT: Advances and Emerging Trends
di: Jaber, Ghada, et al.
Pubblicazione: (2025)

Hierarchical Deep Reinforcement Learning for Robust Access in Cognitive IoT Networks under Smart Jamming Attacks
di: Abdolkhani, Nadia, et al.
Pubblicazione: (2025)

Tactical Edge IoT in Defense and National Security
di: Fraga-Lamas, Paula, et al.
Pubblicazione: (2024)

Power Evaluation of IOT Application Layer Protocols
di: Shahrokhi, Amirhossein, et al.
Pubblicazione: (2024)

Challenges of Multi-Factor Authentication for Securing Advanced IoT (A-IoT) Applications
di: Ometov, Aleksandr, et al.
Pubblicazione: (2019)

Energy Conserved Failure Detection for NS-IoT Systems
di: Liu, Guojin, et al.
Pubblicazione: (2024)

Source-Code Analysis of iFogSim for Simulating Distributed IoT Architectures: Coverage, Challenges, and Enhancements
di: Ndadji, Milliam Maxime Zekeng
Pubblicazione: (2026)

A Mathematical Introduction to Deep Reinforcement Learning for 5G/6G Applications
di: Rezazadeh, Farhad
Pubblicazione: (2024)

Evaluating Machine Learning-Driven Intrusion Detection Systems in IoT: Performance and Energy Consumption
di: Jamshidi, Saeid, et al.
Pubblicazione: (2025)

Hierarchical Edge-Cloud Task Offloading in NTN for Remote Healthcare
di: Flores, Alejandro, et al.
Pubblicazione: (2026)

A Hierarchical Gradient Tracking Algorithm for Mitigating Subnet-Drift in Fog Learning Networks
di: Chen, Evan, et al.
Pubblicazione: (2024)