Title :
A light WLAN radio map for floor detection in multi-floor environment localization
Author :
Iyad H Alshami;Noor Azurati Ahmad;Shamsul Sahibuddin
Author_Institution :
Advanced Informatics School (AIS), Universiti Teknolgi Malaysia (UTM), 54100 Kuala Lumpur, Malaysia
Abstract :
Ubiquitous environments relies on the localization process of the mobile device or user. Although WLAN Received Signal Strength (RSS) fingerprinting is the most accurate indoor positioning method, it is a time consuming process and become impractical process for multi-floor environments. In addition to this any proposed method for floor determination in multi-floor environment must take into account the mobile device´s limitations. In this paper the path loss model will be used to generate a light fingerprint radio map in order to determine the floor where the mobile device located. The experimental results show that the proposed method can determine the floor of the mobile device accurately with percentage exceeded 97%.
Keywords :
"Floors","Mobile handsets","Fingerprint recognition","Attenuation","Testing","Databases","Wireless LAN"
Conference_Titel :
Software Engineering Conference (MySEC), 2015 9th Malaysian
Print_ISBN :
978-1-4673-8226-7
DOI :
10.1109/MySEC.2015.7475209