Abstract
In this paper we study the use of GSM signal strength information as a method of inferring position. Location fingerprinting using 802.11 wireless networks is a popular positioning technique. Recently, research has been published that has applied this technique to cellular networks. Cellular networks offer wider coverage than 802.11 and enable context-aware applications to be built upon the already ubiquitous cell-phone platform.
We focus on the practical aspects of deploying and managing location based services in dynamic, outdoor environments. We have extended a technique for creating a qualitative location system. This extension allows a symbolic location system to be learnt from training data in an unsupervised manner.
Translated title of the contribution | Exploring GSM Signal Strength Levels in Pervasive Environments |
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Original language | English |
Title of host publication | Unknown |
Publication status | Published - Apr 2006 |