Evaluation of Indoor Positioning Technologies for Prototyping at Kettering University

This paper presents research performed on indoor positioning technologies to identify a technology that would be best to implement in a prototype at Kettering University's campus. The indoor positioning techniques evaluated are mainly based on beacon sources including Bluetooth, Wi-Fi, Geomagnetic, Visual Light Communication (VLC), and Ultra-Wideband (UW). Target-side wearable sensors will be considered. The algorithms commonly used for calculating the user's position will be discussed, including Trilateration, Fingerprinting, and K-Nearest-Neighbor.