Kais Mekki / Centre de Recherche en Automatique de Nancy
Eddy Bajic / Centre de Recherche en Automatique de Nancy
Fernand Meyer / OKKO
Indoor positioning is nowadays an emerging and mandatory technology for Internet of Things. Various solutions have been proposed in the literature to achieve high localization accuracy. However, these existing solutions are cloud-based, thus, all the computing and intelligence is implemented in the Cloud. In this paper, we present a new positioning system which embedded all the computing in the mobile device. The proposed solution achieves lower energy consumption while still offering high accuracy of 1.5 meters within an industrial building area. To this end, BLE beacons, RSSI, and trilateration techniques are exploited. Moreover, mobile devices are controlled using MQTT protocol. All advantages of our contribution are presented using various real experiments in an industrial building.