WiFi-based indoor positioning for multi-floor Environment

In recent years, the research of WiFi-based indoor positioning system is prone to attracted with the widely deployed of WLAN and mobile devices. However, there are still some problems unsolved. Most WiFi-based positioning algorithms did not consider multi-floor environment and did not consider building with complex compartments. This paper proposed a WiFi-based indoor positioning system that combined both of the characteristic of trilateration and scene analysis methods. And system can determine which floor the user maybe on. The experiment show the algorithm is workable with acceptable accuracy.