Multi-objective Design of an FBG Sensor Network Using a Non-dominated Sorting Particle Swarm Optimization

Wavelength division multiplexing (WDM) fiber Bragg grating (FBG) sensor network has a multiplexing bottleneck due to the limitation of source bandwidth in engineering applications. The multiplexing capability of the entire network can be improved by allowing a certain degree of overlap between adjacent FBG work area. However, the overlapping spectrum can also reduce the wavelength detection accuracy. Therefore, it is necessary to take into account the network multiplexing performance and detection accuracy in the design of FBG sensor network. In this paper, a multi-objective bandwidth resource optimization model for overlapping spectrum FBG sensor networks is proposed and the Pareto front is obtained by using the multi-objective optimization algorithm NSPSO, from which the appropriate solution was selected to allocate the initial Bragg wavelength of each FBG node. Experimental results show that this method can effectively improve the bandwidth utilization of source in FBG sensor network while ensuring the detection accuracy.