Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43857
Title: Using data mining and fingerprinting extension with device orientation information for WLAN efficient indoor location estimation
Authors: Sánchez Rodríguez, David Cruz 
Quinteiro, José Ma 
Hernández-Morera, Pablo 
Martel-Jordán, Ernestina 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Decision trees , Data mining , Estimation , Fingerprint recognition , Mobile handsets , Accuracy , Computational modeling
Issue Date: 2012
Journal: International Conference on Wireless and Mobile Computing, Networking and Communications
Conference: 2012 IEEE 8th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2012 
Abstract: Research based on indoor location systems has recently been developed due to growing interest in location-aware services to be implemented in light mobile devices. Most of this work is based on received signal strength (RSS) from access points. However, a major drawback from using RSS is its variability due to indoor multipath effect caused by reflection, diffraction and scattering of signal propagation. Therefore, different device orientations in a fixed location provide significant and different RSS values. In this paper, we propose to extend fingerprinting with device orientation information. Implementation of our location system is based on data mining techniques employing decision tree algorithms. Experimental results demonstrate that using RSS samples with the device orientation information improves the location estimation with high accuracy
URI: http://hdl.handle.net/10553/43857
ISBN: 9781467314305
ISSN: 2161-9646
DOI: 10.1109/WiMOB.2012.6379164
Source: International Conference on Wireless and Mobile Computing, Networking and Communications[ISSN 2161-9646] (6379164), p. 77-83
Appears in Collections:Actas de congresos
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