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

Authors: RESMİYE NASİBOĞLU, ZÜLKÜF TEKİN ERTEN

Abstract: Wireless sensor networks are one of the rising areas of scientific research. Common purpose of these investigations is usually constructing optimal structure of the network by prolonging its lifetime. In this study, a new model has been proposed to construct a hierarchical structure of wireless sensor networks. Methods used in the model to determine 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. A new theorem for calculation of WABL values has been proved in order to simplify getting the crisp values from complex fuzzy outputs of the FIS. The proposed methodology is experimented via simulation example, and experiments confirm its validity.

Keywords: Sensor network, clustering, fuzzy inference system, weighted averaging based on levels

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