A new model to determine the hierarchical structure of the wireless sensor networks

Abstract

Wireless sensor networks are one of the rising areas of scientific research. Common purpose of theseinvestigations is usually constructing optimal structure of the network by prolonging its lifetime. In this study, a newmodel has been proposed to construct a hierarchical structure of wireless sensor networks. Methods used in the model todetermine clusters and appropriate cluster heads are k-means clustering and fuzzy inference system (FIS), respectively.The weighted averaging based on levels (WABL) defuzzification method is used to calculate crisp outputs of the FIS. Anew theorem for calculation of WABL values has been proved in order to simplify getting the crisp values from complexfuzzy outputs of the FIS. The proposed methodology is experimented via simulation example, and experiments confirmits validity.