Enhanced Fingerprinting and Trajectory Prediction for IoT Localization in Smart Buildings

Abstract: Internet of Things (IOT) is the primary services in smart automated systems. Markov chain prediction model to assist positioning called Novel Localization Method (LNM).The Neighbor Relative Received Signal Strength (NRSS) used  to build the fingerprint database and adopts a Markov chain prediction model to assist positioning  as Novel Localization Method (LNM).The history data of the pedestrian’s locations are analyzed to positioning for various devices. Performance evaluation conducted in realistic environment demonstrates localization performance compared with existing schemes, when the problems of device heterogeneity and WiFi signals fluctuation exist future.

Keywords: Mobile Internet of Things (IOT), Novel Localization Method (LNM), Location Base Services (LBS), Current Neighbor Difference (CND), Received Signal Strength (RSS).