Title :
WLAN Floor Location Method Based on Hierarchical Clustering
Author :
Weifeng Zhong;Jie Yu
Author_Institution :
Sch. of Autom., Harbin Univ. of Sci. &
Abstract :
In modern life, people´s daily work and recreational activity concentrate in high-rise buildings frequently, so people often focus on the floor and the building information. When the users is in shopping, station and other buildings whose structure is complex, hoping to determine their floor through positioning service quickly. In this paper, WLAN floor positioning method based on hierarchy clustering is proposed, which can improve the accuracy of floor positioning and locate the user´s floor rapidly. In this paper, Matlab is used to carry out simulation experiments. The experimental results show that this method is beneficial to improve the accuracy of the floor location, while reducing the time of the floor location.
Keywords :
"Floors","Fingerprint recognition","Wireless LAN","Clustering algorithms","Clustering methods","Attenuation"
Conference_Titel :
Computer and Computing Science (COMCOMS), 2015 3rd International Conference on
Print_ISBN :
978-1-4673-9632-5
DOI :
10.1109/COMCOMS.2015.12