A practical realisation of kNN indoor positioning model for GSM

Positioning in public land mobile networks has become increasingly popular over the past years with the development of more sophisticated mobile equipment and standards. New services which rely on location information have been developed, such as emergency call localization, navigation, location sensitive commercials/ billing, etc. This paper investigates one practical realisation of an indoor positioning model for GSM (Global System for Mobile Communications) networks, based on the received signal strength (RSS) and fingerprinting method.