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Ensembled combination of Q-Learning and Deep Extreme learning machine to achieve the high performance and less latency to handle the large IoT and Fog Nodes. Cover

Ensembled combination of Q-Learning and Deep Extreme learning machine to achieve the high performance and less latency to handle the large IoT and Fog Nodes.

Journal of Smart Internet of Things
Volume 2024 (2024): Issue 2 (December 2024)
By: Sharan Kumar,  Venkata Ramana Kaneti and  Vandana Sharma  
Open Access
|Feb 2025

Authors

Sharan Kumar

imsharanvh@gmail.com

Department of ECE, Sir M Visvesvaraya College of Engineering, Raichur, India

Venkata Ramana Kaneti

Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India

Vandana Sharma

Department of Electronics and Communication Engineering, Christ University, Bengaluru, India
DOI: https://doi.org/10.2478/jsiot-2024-0015 | Journal eISSN: 2956-8323
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Language: English
Page range: 106 - 119
Submitted on: Sep 6, 2024
Accepted on: Oct 15, 2024
Published on: Feb 24, 2025
Published by: Future Sciences For Digital Publishing
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Internet of Things (IoT),
Fog computing,
Real-time decision-making,
Q-Learning,
Deep Extreme Learning Machine (DELM),
Large-scale networks,
Intelligent systems
Related subjects:
Engineering,
Introductions and overviews,
History of engineering,
Electrical engineering,
Fundamentals of electrical engineering,
Electronics,
Information technology

© 2025 Sharan Kumar, Venkata Ramana Kaneti, Vandana Sharma, published by Future Sciences For Digital Publishing
This work is licensed under the Creative Commons Attribution 4.0 License.

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