An RSSI-based distributed real-time indoor positioning framework

Abstract

In recent years, the application of indoor positioning and tracking have become more important, which may be applied to the navigation of large building, personnel tracking, etc. Due to the limitations of GPS, some researchers have utilized the received signal strength indicator (RSSI) in the wireless environment for indoor positioning. There are two major approaches are proposed: fingerprinting and trilateration techniques. In this research, we proposed an RSSI-based Distributed Real-time Indoor Positioning Framework which integrated these two techniques to construct a cost-effective solution in Bluetooth low energy environment.