Data Analysis from the Bluetooth Sensor

The article deals with project teaching using the PBL (Project Based Learning) methodology. This methodology aims to work in a project-based manner; that is, through a specific creative assignment, students will implement a specific solution in successive steps. In our case, it is a synthesis of the solutions of several projects (final theses) implemented through the PBL methodology. The goals of the projects followed each other over time. Gradually, a sensor network was first created, and then the data from sensors supporting Bluetooth was cleaned and analyzed. Based on data analysis, localization and identification of mobile devices were carried out. A web application filters and analyzes the data into categories according to distance and then displays the results through graphs and tables. The use of such an application is possible, for example, in the localization of mobile devices (telephones, iPads, hands-free, and other devices). The goal of localization can be used, for example, in determining the overcrowding of designated zones (e.g., shopping centers, squares), but also in epidemiological measures (e.g., like the COVID-19 pandemic), where faster transmission of the disease is possible in a crowded space.