Crowdsourced WiFi database and benchmark software for indoor positioning

Crowdsourced WiFi database and benchmark software for indoor positioning

Description

This dataset contains two Wi-Fi databases (one for training and one for test/estimation purposes in indoor positioning applications), collected in a crowdsourced mode (i.e., via 21 different devices and different users), together with a benchmarking utility software (in Matlab and Python) to illustrate various algorithms of indoor positioning based solely on WiFi information (MAC addresses and RSS values). The data was collected in a 4-floor university building in Tampere, Finland, from January to August 2017 and it comprises 687 training fingerprints and 3951 test or estimation fingerprints.
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Year of publication

2019

Authors

Elena Simona Lohan Orcid -palvelun logo - Curator, Creator

Elektroniikka ja tietoliikennetekniikka - Publisher

Helena Leppäkoski Orcid -palvelun logo - Creator

Philipp Richter Orcid -palvelun logo - Creator

Other information

Language

No linguistic content

Open access

Open

License

Other (Open)

Keywords

localization, database, fingerprinting, indoor, MATLAB, Octave, positioning, python, Received Signal Strength (RSS), software, test data, training data, WiFi, Wi-Fi, WLAN
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