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Published September 12, 2017 | Version v1
Dataset Open

Crowdsourced WiFi database and benchmark software for indoor positioning

  • 1. Tampere University of Technology
  • 2. Universitat Jaume I


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,  during Jan-Aug 2017 and it comprises 687 training fingerprints and 3951 test or estimation fingerprints.

The dataset and/or the associated software are to be cited as follows:

E.S. Lohan, J. Torres-Sospedra, P. Richter, H. Leppäkoski, J. Huerta, A. Cramariuc, “Crowdsourced WiFi-fingerprinting database and benchmark software for indoor positioning”, Zenodo repository, DOI 10.5281/zenodo.889798

A detailed description of our data can be found here:

Lohan, Elena Simona, Torres-Sospedra, Joaquín, Leppäkoski, Helena, Richter, Philipp, Peng, Zhe, Huerta, Joaquín
"Wi-Fi Crowdsourced Fingerprinting Dataset for Indoor Positioning", MDPI Data journal, 16 pages, doi:10.3390/data2040032,



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