IoT Indoor Localization with AI Technique

作者：Matteo D’Aloia, Annalisa Longo, Gianluca Guadagno, Mariano Pulpito, Paolo Fornarelli, Pietro Nicola Laera, Dario Manni, María Rízzí · 年份：2020 · DOI：10.1109/metroind4.0iot48571.2020.9138275 · 被引用次数：16 · 研究领域：Indoor and Outdoor Localization Technologies、Bluetooth and Wireless Communication Technologies、Underwater Vehicles and Communication Systems

In this paper, an innovative method for indoor localization based on Bluetooth Low Energy (BLE4) technology has been developed. By employing a mobile beacon, a wearable device and stationary anchors, the conceived tracking system is able to predict people position within buildings. Adopting the received signal strength indicator and a machine learning approach, good accuracy is reached without limiting the freedom and privacy of users.