Journal of Engineering and Applied Sciences

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An Improvement of Indoor Navigation System Based on Fingerprinting Technique Using K-Means Clustering Algorithm

Jirapat Sangthong and Sathaporn Promwong
Page: 1192-1199 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

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.

How to cite this article:

Jirapat Sangthong and Sathaporn Promwong. An Improvement of Indoor Navigation System Based on Fingerprinting Technique Using K-Means Clustering Algorithm.
DOI: https://doi.org/10.36478/jeasci.2017.1192.1199
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2017.1192.1199