Title :
Wavelength detection in FBG sensor network using tree search DMS-PSO
Author :
Liang, J.J. ; Suganthan, P.N. ; Chan, C.C. ; Huang, V.L.
Author_Institution :
Nanyang Technol. Univ., Singapore
fDate :
6/1/2006 12:00:00 AM
Abstract :
As the number of fiber Bragg gratings (FBGs) increases, the conventional peak detection method will be unsuitable to detect Bragg wavelengths of FBG sensors in a wavelength-division-multiplexed (WDM) network. To solve this problem while achieving a higher accuracy at reduced computation cost, a novel tree search dynamic multiswarm particle swarm optimizer (TS-DMS-PSO) is developed. The TS-DMS-PSO yields better results with less computation cost based on the simulations (codes are available from the second author)
Keywords :
Bragg gratings; fibre optic sensors; genetic algorithms; optical communication equipment; optical fibre communication; optical fibres; particle swarm optimisation; tree searching; wavelength division multiplexing; FBG sensor network; dynamic multiswarm particle swarm optimizer; fiber Bragg grating; tree search DMS-PSO; wavelength detection; wavelength-division-multiplexed network; Bragg gratings; Computational efficiency; Computational modeling; Computer networks; Fiber gratings; Intelligent networks; Particle swarm optimization; WDM networks; Wavelength division multiplexing; Wavelength measurement; Fiber Bragg grating (FBG); genetic algorithm; particle swarm optimizer; wavelength-division multiplexed (WDM);
Journal_Title :
Photonics Technology Letters, IEEE
DOI :
10.1109/LPT.2006.875525
