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...

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Bibliographic Details
Main Authors: Dezheen H. Abdulazeez, Shavan K. Askar
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Offloading
fuzzy logic
deep reinforcement learning
DQN
IoT applications
fog computing
Online Access:https://ieeexplore.ieee.org/document/10472051/

Internet

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

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