Research on High Precision Algorithm of Network Time Synchronization Based on Machine Self-Learning

A high precision network times synchronization algorithm is proposed in this paper based on the theory of machine self-learning. In order to solve the problem of the time synchronization accuracy is not high, in this method, the network port delay is considered. According to the different environmen...

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Bibliographic Details
Published in2018 Ninth International Conference on Intelligent Control and Information Processing (ICICIP) pp. 181 - 185
Main Authors Wang, Shunjiang, Wang, Guangfu, Pu, Baoming, Ju, Rongbin, Zhao, Yan, Wang, Hongzhe
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2018
Subjects
Delays
Load modeling
Machine learning
machine self-learning
Manufacturing
network port delay
Network time synchronization
Simulation
Synchronization
Telecommunications
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Summary:A high precision network times synchronization algorithm is proposed in this paper based on the theory of machine self-learning. In order to solve the problem of the time synchronization accuracy is not high, in this method, the network port delay is considered. According to the different environment, the machine self-learning theory is introduced to study the network port delay. After experimental verification, it showed that the accuracy of network time synchronization can be greatly improved.
DOI:10.1109/ICICIP.2018.8606666