The anatomy of a context-aware application
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
DOLPHIN: An Autonomous Indoor Positioning System in Ubiquitous Computing Environment
WSTFES '03 Proceedings of the IEEE Workshop on Software Technologies for Future Embedded Systems
LANDMARC: indoor location sensing using active RFID
Wireless Networks - Special issue: Pervasive computing and communications
WiPS: Location and Motion Sensing Technique of IEEE 802.11 Devices
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Bluetooth Base Station Minimal Deployment for High Definition Positioning
MOBIQUITOUS '05 Proceedings of the The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services
Indoor/Outdoor Seamless Positioning Technologies Integrated on Smart Phone
SPACOMM '09 Proceedings of the 2009 First International Conference on Advances in Satellite and Space Communications
Indoor localization using improved RSS-based lateration methods
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
IEEE 802.15.4 modifications and their impact
Mobile Information Systems
BGN: A novel scatternet formation algorithm for bluetooth-based sensor networks
Mobile Information Systems
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Position measurement using Bluetooth
IEEE Transactions on Consumer Electronics
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Different systems have been proposed to estimate the position of a mobile device using Bluetooth based on metrics such as the Radio Signal Strength Indicator RSSI, the received Bit Error Rate BER or the Cellular Signal Quality CSQ. These systems try to improve the estimation accuracy of the basic and straightforward triangulation method among discovered BT reference base stations at the cost of requiring that the positioning application has access to low level hardware related data provided by the Host Controller Interface and obtaining information which is in many cases hardware, and therefore device, dependent. In this paper we design, simulate, implement and validate a Bluetooth positioning system that only requires the ability to handle SDP service records at the application level, achieving mean errors around 1 to 3 meters, improving the basic triangulation method among discovered BT reference base stations.