Deep Learning-Based Indoor Localization by Using WiFi Fingerprinting and a CNN Algorithm
In this research, a new approach is proposed to accurately predict indoor three-dimensional localization based on Received Signal Strength (RSS) values. This work uses WiFi beacons to collect time-series RSS data, preprocess it, and feed it to the proposed model. The proposed model presents a novel architecture based o...