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

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.