Improving the Resource Allocation in IoT Systems Based on the Integration of Reinforcement Learning and Rule-Based Approaches in Multi-agent Systems-Reference-Cited by-同舟云学术

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Improving the Resource Allocation in IoT Systems Based on the Integration of Reinforcement Learning and Rule-Based Approaches in Multi-agent Systems

Published:2024-05-14 Issue: Volume:8 Page:135-141
ISSN:
Container-title:2024 8th International Conference on Smart Cities, Internet of Things and Applications (SCIoT)
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Author:

Yarahmadi Hossein¹,Navidi Hamidreza²,Challenger Moharram³

Affiliation:

1. University of Antwerp,Department of Computer Science,Belgium

2. Shahed University,Department of Mathematics and Computer Science,Tehran,Iran

3. University of Antwerp, and Flanders Make Strategic Research Center,Department of Computer Science,Flanders,Belgium

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10570096/10570097/10570102.pdf?arnumber=10570102

Reference41 articles.

1. Cyber-physical systems;Liang;ACM Transactions on,2024

2. A Review and State of Art of Internet of Things (IoT)

3. An android-based IoT system for vehicle monitoring and diagnostic

4. Towards Real-time Cyber-physical Systems Instrumentation for Creating Digital Twins

5. Smart home and internet of things: A bibliometric study

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