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ZENODO
Dataset . 2018
Data sources: Datacite
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ZENODO
Dataset . 2018
Data sources: Datacite
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BLE RSS measurements database and supporting materials

Authors: Mendoza-Silva, Germán Martín; Matey-Sanz, Miguel; Torres-Sospedra, Joaquín; Huerta, Joaquín;

BLE RSS measurements database and supporting materials

Abstract

BLE RSS measurements database and supporting materials The database contains over 4,700 fingerprints of measurement from Bluettoth Low Energy (BLE) beacons. The beacons were Accent System's IBKS105, and the RSS were measured in two zone from the Universitat Jaume I, in Spain. One zone is an area among bookshelves that belong to the university library, for which beacons were configured to advertise at the -12 dBm power and the collection was performed using three smartphones: aBQ Aquaris X5 plus, a Samsung Galaxy S6 (SM-G920F) and a Samsung Galaxy A5 2017 (SM-A520F). The other zone is an office space area, for which beacons were configured at -4dBm, -12 dBm, and -20dBm and the collection was performed using the only Samsung Galaxy A5 smartphone. The supporting material includes Matlab® scripts to load and filter the desired data, and provides examples that depict common challenges for BLE RSS-based indoor positioning. The supporting material also includes the beacon deployment and the obstacles local coordinates. Citation request: Mendoza-Silva, G.M.; Matey-Sanz, M.; Torres-Sospedra, J.; Huerta, J. BLE RSS Measurements Dataset for Research on Accurate Indoor Positioning. Data 2019, 4, 12 Mendoza-Silva, G.M.; Matey-Sanz, M.; Torres-Sospedra, J.; Huerta, J. "BLE RSS meaurements database and supporting materials". Zenodo repository, DOI 10.5281/zenodo.1618692

We would like to thank from MINECO through the Spanish network of excellence, REPNIN+,TEC2017-90808-REDT. Germán M. Mendoza-Silva gratefully acknowledges funding from grant PREDOC/2016/55 by Universitat Jaume I.

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Keywords

Indoor Positioning, BLE, Advertisement loss

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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