@inproceedings{19cf4c190e124d69b4335b8c65ee2183,
title = "Genetic based time synchronization optimize algorithm for wireless sensor networks",
abstract = "Time synchronization provides uniform timescale for distributed sensor networks. In this paper a genetic based time synchronization optimize algorithm is proposed. It first generated the nondeterministic transmitting delay and then adopted the genetic algorithm to simulating these delays. Minimal linear fit residual error is selected as fitness function to evaluate the simulating effect. After finding the best fitness delay sequence, the time skew and offset is estimated by linear regression. The experiment result shows that the synchronization precision could be improved from 11.8μ to 3.5μ.",
keywords = "Genetic algorithm, Optimize, Precision, Sensor networks, Time synchronization",
author = "Chen Chang and Dongxiao Wang and Liangang Xiao",
note = "Publisher Copyright: {\textcopyright} 2014. The authors - Published by Atlantis Press.; 2014 International Conference on Logistics Engineering, Management and Computer Science, LEMCS 2014 ; Conference date: 21-12-2013",
year = "2014",
language = "English",
series = "International Conference on Logistics, Engineering, Management and Computer Science, LEMCS 2014",
publisher = "Atlantis Press",
pages = "1--4",
booktitle = "International Conference on Logistics, Engineering, Management and Computer Science, LEMCS 2014",
}