A Multi-Agent Reinforcement Learning-Based Optimized Routing for QoS in IoT Cover

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A Multi-Agent Reinforcement Learning-Based Optimized Routing for QoS in IoT

Cybernetics and Information Technologies

Volume 21 (2021): Issue 4 (December 2021)

By: T. C. Jermin Jeaunita and V. Sarasvathi

Open Access

|Dec 2021

Authors

T. C. Jermin Jeaunita

jerminjeaunita@gmail.com

PESIT Bangalore South Campus, Bangalore, India and affiliated to Visvesvaraya Technological University, Belagavi, India

V. Sarasvathi

sarsvathiv@pes.edu

PESIT Bangalore South Campus, Bangalore, India and affiliated to Visvesvaraya Technological University, Belagavi, India

DOI: https://doi.org/10.2478/cait-2021-0042 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

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Language: English

Page range: 45 - 61

Submitted on: May 9, 2021

Accepted on: Nov 8, 2021

Published on: Dec 9, 2021

Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

multi-agent system,

Internet of Things (IoT),

reinforcement learning,

Related subjects:

Computer sciences,

Information technology

© 2021 T. C. Jermin Jeaunita, V. Sarasvathi, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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