Congestion Aware Q-Learning (CAQL) in RPL Protocol – WSN based IoT Networks-Reference-Cited by-同舟云学术

Congestion Aware Q-Learning (CAQL) in RPL Protocol – WSN based IoT Networks

Published:2022-05-31 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Engineering Technology and its Applications (IICETA)
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Author:

Ahmed Ahmed Jamal¹,Abbas Ali Hashim²,Rashid Sami Abduljabbar¹,Jubair Mohammed Ahmed²,Hassan Mustafa Hamid²,Abdulhadi Ahmed²,Abdulsattar Nejood Faisal²,Habelalmateen Mohammed I.³

Affiliation:

1. Al-Maarif University College,Department of Computer Engineering Techniques,Al-Anbar,Iraq

2. Imam Ja’afar Al-Sadiq University,Department of Computer Technical engineering College of Information Technology,Al-Muthanna,Iraq,66002

3. Islamic University,Department of Computer Technical Engineering College of Technical Engineering,Najaf,Iraq,54001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9888261/9888265/09888322.pdf?arnumber=9888322

Reference40 articles.

1. An Enhanced K-Means and ANOVA-Based Clustering Approach for Similarity Aggregation in Underwater Wireless Sensor Networks

2. Characteristic analysis of queue theory in Wi-Fi applications using OPNET 14.5 modeler

3. Recursive Principal Component Analysis-Based Data Outlier Detection and Sensor Data Aggregation in IoT Systems

4. Hybrid Network Coding and Cooperative Communication in WBAN

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