Mise􀀃au􀀃point􀀃d’une􀀃application􀀃de􀀃 Géolocalisation􀀃Indoor􀀃via􀀃WiFi􀀃

Abstract

In this work, we developed a mobile application to estimate the position in an indoor building using WiFi signals. We applied the Fingerprinting method and implemented the algorithm of Nearest K neighbor(KNN). This project allowed the development of a localization system that minimized energy consumption, and the result of the project is an Android Application that works in all different Android Builds. The approach presented in our project is based on the use of local networks, the use of signal measurements of these networks(RSSi), and the content of a local database. Using this information and development tools, we developed a methodology, based on a powerful algorithm, to ensure a fine positioning.