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Furthermore, the proposed TOW-dynamics-based channel assignment algorithm has simple learning procedure which only needs to receive Acknowledge frame for ...
To deal with network congestions, we have proposed a channel selection algorithm based on reinforcement learning for IoT devices. We have implemented the ...
A machine-learning-based channel assignment algorithm utilizing Tug-Of-War (TOW) dynamics is proposed to cognitively select channels for communication in ...
In this paper, a machine-learning-based channel assignment algorithm utilizing Tug-Of-War (TOW) dynamics is proposed for massive IoT system. The proposed ...
A Machine-Learning-Based Channel Assignment Algorithm for IoT. Jing Ma, Tomoya Nagatsuma, Song Ju Kim, Mikio Hasegawa · Department of Electrical Engineering.
This study used Upper Confidence Bounds (UCB) and Ɛ-greedy machine learning algorithms to implement channels dynamically while reporting in the study that ...
Mar 18, 2019 · Furthermore, the proposed TOW-dynamics-based channel assignment algorithm has simple learning procedure which only needs to receive Acknowledge ...
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May 27, 2024 · This study presents a novel model for enhancing the security of IoT systems using machine learning (ML) classifiers.
An intelligent channel assignment algorithm ... Comprehensive review on ML-based RIS-enhanced IoT systems: basics, research progress and future challenges.
Nov 11, 2024 · The proposed approach is based on network traffic and load and various other network metrics including energy efficiency, network capacity and ...