TY  - JOUR
T1  - An Improvement of Indoor Navigation System Based on
Fingerprinting Technique Using K-Means Clustering Algorithm
AU - Sangthong, Jirapat AU - Promwong, Sathaporn 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 5
SP  - 1192
EP  - 1199
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.1192.1199
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.1192.1199
KW  - Indoor navigation system
KW  -fingerprinting technique
KW  -K-Means (KM)
KW  -clustering algorithm
KW  -Least Square (LS)
KW  -K-Nearest Neighbor (KNN)
AB  - Indoor navigation system is the one of interesting application among the researchers in an indoor environment due to the meter-level accuracy requirement in complex structure. This research proposed an improvement of the indoor navigation system based on fingerprinting technique by using K-Means (KM) clustering algorithm. The unknown positions are estimated by using Least Square (LS) and K-Nearest Neighbor (KNN) algorithms. The experimental results show the performance comparison between no-clustering case and KM-clustering case. Finally, we found that the KM clustering algorithm can be improved the accuracy of indoor navigation system both LS and KNN algorithm.
ER  -