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

摘要

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.