A Novel Offloading Mechanism Leveraging Fuzzy Logic and Deep Reinforcement Learning to Improve IoT Application Performance in a Three-Layer Architecture Within the Fog-Cloud Environment

A Novel Offloading Mechanism Leveraging Fuzzy Logic and Deep Reinforcement Learning to Improve IoT Application Performance in a Three-Layer Architecture Within the Fog-Cloud Environment

This paper presents a novel offloading technique designed to enhance the efficiency of Internet of Things (IoT) applications within a sophisticated three-layer architecture situated in a fog computing environment. The IoT layer contains various intelligent IoT devices that generate a large number of...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Dezheen H. Abdulazeez, Shavan K. Askar
Format: Artikel
Sprache:English
Veröffentlicht: IEEE 2024-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Offloading
fuzzy logic
deep reinforcement learning
DQN
IoT applications
fog computing
Online Zugang:https://ieeexplore.ieee.org/document/10472051/

Online

https://ieeexplore.ieee.org/document/10472051/

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