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Proceedings Paper

Improving the performance of a FBG sensor network using a novel dynamic multi-swarm particle swarm optimizer
Author(s): J. J. Liang; C. C. Chan; V. L. Huang; P. N. Suganthan
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Paper 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.

Paper Details

Date Published: 5 November 2005
PDF: 7 pages
Proc. SPIE 5998, Sensors for Harsh Environments II, 59980O (5 November 2005); doi: 10.1117/12.630037
Show Author Affiliations
J. J. Liang, Nanyang Technological Univ. (Singapore)
C. C. Chan, Nanyang Technological Univ. (Singapore)
V. L. Huang, Nanyang Technological Univ. (Singapore)
P. N. Suganthan, Nanyang Technological Univ. (Singapore)

Published in SPIE Proceedings Vol. 5998:
Sensors for Harsh Environments II
Anbo Wang, Editor(s)

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