Title :
Low complexity floor localization algorithm for mobile phone
Author :
Khaoampai, Kornkanok ; Nakorn, Kulit Na ; Rojviboonchai, Kultida
Author_Institution :
Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
Abstract :
Mobile phone has played an important role in daily life. Many applications on mobile phone can provide location service to user. A GPS sensor provides highly accurate localization system in outdoor environment but low accuracy over an indoor scenario because obstacles and mainly infrastructure of building block a GPS signal from GPS satellites. Moreover, GPS cannot determine a current floor that mobile phone is located on. Many indoor localization approaches have been proposed to address this problem. The approaches require back-end servers, which have high cost of hardware, software and maintenances to support localization processing. In this paper, we propose a low complexity floor localization algorithm. Our floor localization can be done on mobile phone and does not need any support from back-end server. The algorithm uses Wi-Fi access points that the mobile phone can detect as an input to determine current floor of the mobile phone. In addition, our proposed floor localization algorithm provides up to 90.83% of accuracy.
Keywords :
Global Positioning System; mobile computing; mobility management (mobile radio); wireless LAN; GPS satellites; GPS sensor; GPS signal; Wi-Fi access points; back-end servers; localization processing; location service; low complexity floor localization algorithm; mobile phone; Accuracy; Fingerprint recognition; Floors; Global Positioning System; IEEE 802.11 Standards; Mobile handsets; Servers; Indoor localization; Wi-Fi;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2014 11th International Conference on
Conference_Location :
Nakhon Ratchasima
DOI :
10.1109/ECTICon.2014.6839765