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Genetic Based Time Synchronization Optimize Algorithm for Wireless Sensor Networks
Authors
Chang Chen, Dongxiao Wang, Liangang Xiao
Corresponding Author
Chang Chen
Available Online May 2014.
- DOI
- 10.2991/lemcs-14.2014.1How to use a DOI?
- Keywords
- Sensor networks; Time synchronization;Genetic algorithm;Optimize;Precision
- 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 11.8 to 3.5.
- Copyright
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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Cite this article
TY - CONF AU - Chang Chen AU - Dongxiao Wang AU - Liangang Xiao PY - 2014/05 DA - 2014/05 TI - Genetic Based Time Synchronization Optimize Algorithm for Wireless Sensor Networks BT - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science PB - Atlantis Press SP - 1 EP - 4 SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-14.2014.1 DO - 10.2991/lemcs-14.2014.1 ID - Chen2014/05 ER -