Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

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
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-010-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/lemcs-14.2014.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.1
DO  - https://doi.org/10.2991/lemcs-14.2014.1
ID  - Chen2014/05
ER  -