Computer Science ›› 2015, Vol. 42 ›› Issue (10): 101-105, 121.

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Weighted Centroid Localization Algorithm Based on Mamdani Fuzzy Theory

WANG Wan-liang, SHI Hao and LI Yan-jun   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In many cases of wireless sensor networks application,the accuracy of weighted centroid localization algorithm depends on the precision of weight.In this paper,Mamdani fuzzy logic inference approach with improved RSS membership function based on bat algorithm was proposed to improve the accuracy of weighted centroid localization algorithm.With applying Zigbee hardware platform to compare three types of centroid algorithms,it draws a conclusion that the desired accuracy in door localization can be achieved with optimized RSS membership function by bat algorithm.

Key words: Weighted centroid localization algorithm,Fuzzy logic,Bat algorithm,Received signal strength

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