A K-Means Based Method to Identify Floor in WLAN Indoor Positioning System

The indoor positioning system is one of the hot issues in the field of wireless communication technology.The WLANbased fingerprint positioning technology research becomes popular as the rapid development of WLAN.However,with the improvement of people's living standards,a large number of large-scale buildings are constructed,such as gymnasium.To realize positioning of these scenarios,not only the positioning within the two planes,but also the identification of the floors is important.This paper presents a K-means- based method in WLAN indoor location system to identify the current floor of a user in tall multi-floor buildings.It can be used to improve the user experience.The results of experiment under simulation condition shows that the proposed method helps to improve the floors identification accuracy,and consumes less time.