Improving the performance of a FBG sensor network using a novel dynamic multi-swarm particle swarm optimizer

J. J. Liang; C. C. Chan; V. L. Huang; P. N. Suganthan

doi:10.1117/12.630037

5 November 2005 Improving the performance of a FBG sensor network using a novel dynamic multi-swarm particle swarm optimizer

J. J. Liang, C. C. Chan, V. L. Huang, P. N. Suganthan

Author Affiliations +

Proceedings Volume 5998, Sensors for Harsh Environments II; 59980O (2005) https://doi.org/10.1117/12.630037
Event: Optics East 2005, 2005, Boston, MA, United States

Abstract

A novel evolutionary algorithm called dynamic multi-swarm particle swarm optimizer (DMS-PSO) is used to improve the performance of fiber Bragg grating (FBG) sensors in a wavelength division multiplexed (WDM) network. Simulation results show that the root-mean-square (RMS) value of the Bragg wavelength detection error is 0.8pm when 10 FBGs in the WDM network are completely overlapped in the noisy environment.

Citation Download Citation

J. J. Liang, C. C. Chan, V. L. Huang, and P. N. Suganthan "Improving the performance of a FBG sensor network using a novel dynamic multi-swarm particle swarm optimizer", Proc. SPIE 5998, Sensors for Harsh Environments II, 59980O (5 November 2005); https://doi.org/10.1117/12.630037

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