Design of an FBG Sensor Network Based on Pareto Multi-Objective Optimization

Author

Hao Jiang ; Jing Chen ; Tundong Liu ; Hongyan Fu

Author_Institution

Sch. of Inf. Sci. & Eng., Xiamen Univ., Xiamen, China

Volume

25

Issue

15

fYear

2013

fDate

Aug.1, 2013

Firstpage

1450

Lastpage

1453

Abstract

A novel scheme based on Pareto-based multiobjective optimization technology is proposed to design a wavelength-division-multiplexing (WDM) fiber Bragg grating (FBG) sensor network. Considering multiple objectives, which are minimizing the bandwidth of the optical source and minimizing the overlapping spectra, an elitist non-dominated sorting genetic algorithm is applied for obtaining the Pareto front. Simulation results show that our approach is effective in improving the multiplexing capability of the WDM network.

Keywords

Bragg gratings; Pareto optimisation; fibre optic sensors; genetic algorithms; optical design techniques; optical fibre networks; wavelength division multiplexing; FBG sensor network; Pareto front; Pareto-based multiobjective optimization technology; WDM network; elitist nondominated sorting genetic algorithm; multiplexing capability; optical source bandwidth; overlapping spectra; wavelength-division-multiplexing fiber Bragg grating sensor network; Multi-objective optimization; fiber Bragg grating; pareto optimality; wavelength-division multiplexing;

fLanguage

English

Journal_Title

Photonics Technology Letters, IEEE

Publisher

ieee

ISSN

1041-1135

Type

jour

DOI

10.1109/LPT.2013.2264802

Filename

6523108