Title: Optimisations for LocSens – an indoor location tracking system using wireless sensors

Authors: Faruk Bagci, F. Kluge, T. Ungerer, N. Bagherzadeh

Addresses: Department of Computer Science, University of Augsburg, Germany. ' Department of Computer Science, University of Augsburg, Germany. ' Department of Computer Science, University of Augsburg, Germany. ' Department of Electrical Engineering and Computer Science, University of California, Irvine, USA

Abstract: Ubiquitous and pervasive computing envisions context-aware systems that gather real-world information from many fixed and mobile microchips and sensors integrated in everyday objects. To provide valuable services, it is necessary to estimate the location of users or objects. Outdoor location tracking is achieved by Global Positioning System (GPS), but due to its poor indoor coverage, there is a need for alternative technologies in buildings. Since multiple wireless sensors may be situated in the environment, they can be used for location estimation and tracking. This paper presents LocSens, a cost-effective location tracking system based on sensor nodes with wireless connectivity. LocSens works with a minimum number of sensor nodes. It is established and tested in a real indoor scenario over multiple rooms. LocSens could be improved by optimising algorithms and using more precise sensor boards. Results confirm gained accuracy in location estimation and tracking of moving objects.

Keywords: ubiquitous computing; pervasive computing; wireless sensor networks; WSNs; indoor location estimation; indoor location tracking; wireless networks; moving objects.

DOI: 10.1504/IJSNET.2009.029392

International Journal of Sensor Networks, 2009 Vol.6 No.3/4, pp.157 - 166

Published online: 29 Nov 2009 *

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