Adaptive Indoor Positioning System Based on Fingerprinting Principle

In the era of location-based services development, the greatest difficulty remains in establishing a well-functioning indoor positioning system. The ubiquity of smartphones and Wi-Fi has led to the development of systems that estimate the location of users indoors based on various signals. This work is devoted to user-oriented Indoor Positioning System (IPS). To this aim, the fingerprinting principle is applied with WKNN algorithm. With the application of the adaptive method and limitation of the search region, the accuracy of the algorithm was significantly improved and was equal to 0.86 m. The best accuracy was obtained with the adaptive selection of the k-nearest points.