A multi-technology framework for LBS using fingerprinting

Due to the present challenges of Ubiquitous Computing, automatic location estimation of a mobile device in wireless networks is becoming increasingly important. Given the complexity of indoor environments, due to factors such as multipath interference, reflections and refractions, fingerprinting scene analysis methodology is presented in this paper. A multi-technology and multi-platform model is presented. After this model a framework for Localization Based Services was implemented. It can be used for analysis of performance of the location estimation, being developed at various levels of abstraction. This model is intended for indoor environment, being presented and tested different location estimation algorithms based on scene analysis with fingerprinting methodology. The framework was tested using IEEE802.11 and IEEE802.15.4 standards and a realtime location estimation with a accuracy of 1m and a precision of 90% was achieved.