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-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:39936-39952
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abdulazeez Dezheen H.¹^ORCID,Askar Shavan K.²^ORCID

Affiliation:

1. Department of Computer Science, College of Science, Duhok University, Duhok, Iraq

2. Department of Information System Engineering, Erbil Technical Engineering College, Erbil Polytechnic University, Erbil, Iraq

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10472051.pdf?arnumber=10472051

Reference37 articles.

1. A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing

2. Energy-Efficient Task Offloading for Time-Sensitive Applications in Fog Computing

3. Enhancing Healthcare Efficacy Through IoT-Edge Fusion: A Novel Approach for Smart Health Monitoring and Diagnosis

4. Enabling intelligence in fog computing to achieve energy and latency reduction

5. Energy and latency reductions at the fog gateway using a machine learning classifier

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