Abstract

The technologies and sensors embedded in smartphones have contributed to the spread of disruptive applications built on top of Location Based Services (LBSs). Among them, Bluetooth Low Energy (BLE) has been widely adopted for proximity and localization, as it is a simple but efficient positioning technology. This article presents a database of received signal strength measurements (RSSIs) on BLE signals in a real positioning system. The system was deployed on two buildings belonging to the campus of the University of Extremadura in Badajoz. the database is divided into three different deployments, changing in each of them the number of measurement points and the configuration of the BLE beacons. the beacons used in this work can broadcast up to six emission slots simultaneously. Fingerprinting positioning experiments are presented in this work using multiple slots, improving positioning accuracy when compared with the traditional single slot approach.

Highlights

  • The quick growth of wireless communication networks has fostered new uses beyond simple information exchange

  • Data are given as received signal strength indicator (RSSI) fingerprinting vectors, with local coordinates as position labels

  • Some basic positioning algorithms and usage-examples are implemented. This database presents the data as a fingerprinting vector for each measurement in each reference point

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Summary

Introduction

The quick growth of wireless communication networks has fostered new uses beyond simple information exchange. The BLE has already been used successfully for LBS in indoor environments such as airports [14] and museums [18,19,20] In this situation, many researchers have concentrated on the techniques and algorithms used to increase the accuracy and robustness of this system. The database is composed of raw measurements from different smartphones for the development of indoor positioning and proximity techniques. All measurements were correctly labeled with its area identification (for proximity applications) and coordinates in a local positioning system (for positioning applications) These data provide information to test the effects of different configurations within the same environment, the effects of diverse devices and the effects of using more than one signal (slot) for each transmitter device.

Related Works
Collection Procedure
Setup and Measurement Procedure
The BLE RSSI Database
Analysis on the Datasets and Baselines
Findings
Discussion and Conclusions
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