Probabilistic Algorithm based on Fuzzy Clustering for Indoor Location in Fingerprinting Positioning Method

Abstract: Recently, the location of the fingerprint positioning technology is obviously superior to the signal transmission loss model based on the positioning technology, and is widely concerned by scholars. In the online phase, due to the efficiency of the probabilistic distribution matching computation is low and when clustering the position fingerprint database, hard clustering lead to degrading the positioning accuracy, a probabilistic algorithm based on fuzzy clustering is proposed and applied to the indoor location fingerprinting positioning. Compared with hard clustering fusion algorithm, the proposed method has realized the fuzzy partition of the database, makes online positioning phase can effectively search the desired fingerprint data, and improve the positioning accuracy. Experiments show that the algorithm can effectively deal with the problem of the positioning accuracy of hard clustering.

Bo Dong, Fei Wu, Jian Xing and Yan Zou. “Probabilistic Algorithm based on Fuzzy Clustering for Indoor Location in Fingerprinting Positioning Method ”. International Journal of Advanced Computer Science and Applications (IJACSA) 6.8 (2015). http://dx.doi.org/10.14569/IJACSA.2015.060821

@article{Dong2015,
title = {Probabilistic Algorithm based on Fuzzy Clustering for Indoor Location in Fingerprinting Positioning Method },
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060821},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060821},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {8},
author = {Bo Dong and Fei Wu and Jian Xing and Yan Zou}
}