Sensors Layout Optimization Based on Cluster Analysis in Water Supply Network

Abstract

Water supply network (WSN) is inherently vulnerable to accidental pollution. Real-time monitoring is a promising technology for forecasting unexpected event so that manager department can smoothly search fault point. In real program, water department, considering senor costs, cannot deploy enough sensors in every node. In this paper, we try to find out how to select number of sensors so that minimum number of sensors can monitor maximum information to immediately search fault point. Establishing pressure difference method is to select monitoring node location. In another aspect, hierarchical clustering of similarity pressure difference matrix will be carried out in order to get separate groups. Combining above two methods is to optimize the number of sensors and sensor location. This text can conduct how to deploy number of sensors in the future work.