Indoor location and orientation determination for wireless personal area networks

Authors:
Zekeng Liang;Ioannis Barakos;Stefan Poslad
Affiliations:
School of Electronic Engineering and Computer Science, Queen Mary, University of London, UK;School of Electronic Engineering and Computer Science, Queen Mary, University of London, UK;School of Electronic Engineering and Computer Science, Queen Mary, University of London, UK
Venue:
MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
Year:
2009

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Abstract

This paper presents a Wireless Personal Area Network (WPAN) indoor location determination system that adapts to both dynamic physical environmental conditions and human movement changes in order to find estimated user locations and their orientation. This system has been realized using the Sun SPOT sensor platform. This research identifies the challenges when deploying indoor location determination systems based upon a combination of radio signal strength indication (RSSI) and accelerometer measurements of users' mobile terminals. The experimental results show that users' indoor locations can be estimated more precisely and with greater computational efficiency compared to current systems.