Analysis of WLAN's received signal strength indication for indoor location fingerprinting

Authors:
Kamol Kaemarungsi;Prashant Krishnamurthy
Affiliations:
National Electronics and Computer Technology Center, NSTDA, Pathumthani, Thailand;School of Information Sciences, University of Pittsburgh, Pittsburgh, USA
Venue:
Pervasive and Mobile Computing
Year:
2012

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Abstract

An indoor positioning system that uses a location fingerprinting technique based on the received signal strength of a wireless local area network is an enabler for indoor location-aware computing. Data analysis of the received signal strength indication is very essential for understanding the underlying location-dependent features and patterns of location fingerprints. This knowledge can assist a system designer in accurately modeling a positioning system, improving positioning performance, and efficiently designing such a system. This study investigates extensively through measurements, the features of the received signal strength indication reported by IEEE 802.11b/g wireless network interface cards. The results of the statistical data analysis help in identifying a number of phenomena that affect the precision and accuracy of indoor positioning systems.