Enhanced Fingerprinting and Trajectory Prediction for IoT Localization in Smart Buildings

Abstract: Location service is the primary services in smart automated systems of Internet of Things (IOT). So accurate localization has become a key issue. A novel localization utilizes the neighbor relative received signal strength(NRSS) to build the fingerprint database and adopts a Markov chain prediction model to assist positioning called as novel localization method (LNM) .In the LNM, the history data of the pedestrian�s locations are analyzed to further lower the unpredictable signal fluctuations in a smart building environment, meanwhile enabling calibration-free positioning for various devices The performance evaluation conducted in a realistic environment demonstrates superior localization performance compared with existing schemes, when the problems of device heterogeneity and WiFi signals fluctuation exist.

Keywords: Internet of Things (IOT), Novel localization method (LNM), Location Base Services (LBS).