The growth of wireless and mobile communications technologies offers new possibilities for context driven information systems. Specifically, nowadays, mobile phones are equipped with several radio-frequency technologies, like Global System for Mobile Communications (GSM),WiFi or Bluetooth. In this way, the idea of using them to create a location system arises. Typical location algorithms can extract relevant information about Radio Frequency (RF) signals and estimate the position of the device. In this paper, we present a study of Bluetooth signal as source of information in one of these location systems. We analyze its capabilities and we create a set of algorithms to transform Bluetooth data in order to improve the location process. The system consists of N nodes connected to a cable network disposed in a scenario divided in cells, where each of them is composed of a thin client PC with a Bluetooth device and a directional antenna. It works by inquiring the Received Signal Strength Indicators (RSSI) values of all the visible Bluetooth devices. Employing a fingerprinting technique, it determines the most probable grid cell for each device.
[1]
Panos K. Chrysanthis,et al.
On indoor position location with wireless LANs
,
2002,
The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.
[2]
Gaetano Borriello,et al.
Location Systems for Ubiquitous Computing
,
2001,
Computer.
[3]
Nada Golmie,et al.
Interference of bluetooth and IEEE 802.11: simulation modeling and performance evaluation
,
2001,
MSWIM '01.
[4]
J.K. Ng,et al.
An Enhanced Wireless LAN Positioning Algorithm based on the Fingerprint Approach
,
2006,
TENCON 2006 - 2006 IEEE Region 10 Conference.
[5]
Prashant Krishnamurthy,et al.
Properties of indoor received signal strength for WLAN location fingerprinting
,
2004,
The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004..