A Study of Devising Neural Network Based Indoor Localization Using Beacons: First Results

摘要

In the paper, we deal with the problem of indoor localization. There are various technologies that can generate data to be used for indoor localization. We analyze beacons, which are Bluetooth low energy transmitters. They, if installed in a building in a properly devised grid according to their characteristics, can serve as data generators for localization. We designed an artificial neural network that processes data from beacons and produces coordinates that determine the localization. Experiments show that our neural network based indoor localizator achieves accuracy comparable to other known approaches.