4.6 Article

BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum

Journal

IEEE SYSTEMS JOURNAL
Volume 14, Issue 3, Pages 3483-3493

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSYST.2020.2969088

Keywords

Estimation; Bluetooth; Wireless communication; Internet of Things; Kalman filters; Received signal strength indicator; Androids; Bluetooth Low Energy (BLE) beacons; iBeacons; indoor positioning; Kalman filter; received signal strength indicator (RSSI); smart museum

Funding

  1. Natural Sciences and Engineering Research Council of Canada

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The Internet of Things (IoT) can enable smart infrastructures to provide advanced services to the users. New technological advancement can improve our everyday life, even simple tasks as a visit to the museum. In this article, an indoor localization system is presented, to enhance the user experience in a museum. In particular, the proposed system relies on Bluetooth Low Energy (BLE) beacons proximity and localization capabilities to automatically provide the users with cultural contents related to the observed artworks. At the same time, a received signal strength-based technique is used to estimate the location of the visitor in the museum. An Android application is developed to estimate the distance from the exhibits and collect useful analytics regarding each visit and provide a recommendation to the users. Moreover, the application implements a simple Kalman filter in the smartphone, without the need of the cloud, to improve localization, precision and accuracy. Experimental results on distance estimation, location, and detection accuracy show that BLE beacon is a promising solution for an interactive smart museum. The proposed system has been designed to be easily extensible to the IoT technologies and its effectiveness has been evaluated through experimentation.

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