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Wi-Fi Fingerprinting dataset with multiple simultaneous interfaces

Adriano Moreira; Maria João Nicolau; Ivo Silva; Joaquín Torres-Sospedra


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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Adriano Moreira</dc:creator>
  <dc:creator>Maria João Nicolau</dc:creator>
  <dc:creator>Ivo Silva</dc:creator>
  <dc:creator>Joaquín Torres-Sospedra</dc:creator>
  <dc:date>2019-09-10</dc:date>
  <dc:description>    This dataset was collected within the context of a research project aiming to develop an indoor positioning system for autonomous industrial vehicles. This positioning system is based on fusing data from Wi-Fi sensors, magnetic encoders, and an IMU, using a particle filter. Wi-Fi data is first processed using Wi-Fi fingerprinting.

    One of the unique characteristics of this system is that it uses Wi-Fi fingerprints collected simultaneously from multiple, synchronised, Wi-Fi interfaces. Some results about the benefits of using multiple Wi-Fi interfaces are described in:

        Moreira, A., Silva, I., Meneses, F., Nicolau, M. J., Pendao, C., &amp; Torres-Sospedra,  J. (2017, September). Multiple simultaneous Wi-Fi measurements in fingerprinting indoor positioning. In 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN) (pp. 1-8). IEEE. http://dx.doi.org/10.1109/IPIN.2017.8115914

    These data were collected at a university building that resembles an industrial floor plant, with a total area of around 1000 m2. The data were collected in July 2017.

    The data collection setup was based on a Raspberry Pi 3 Model B with its internal Wi-Fi interface, and four additional USB Wi-Fi interfaces (Edimax EW-7811un).

 </dc:description>
  <dc:description>This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT—Fundação para a Ciência e Tecnologia within the scope of project UID/CEC/00319/2019, by the Portugal Incentive System for Research and Technological Development in the scope of projects in co-promotion no 002814/2015 (iFACTORY 2015-2018).</dc:description>
  <dc:identifier>https://zenodo.org/record/3342526</dc:identifier>
  <dc:identifier>10.5281/zenodo.3342526</dc:identifier>
  <dc:identifier>oai:zenodo.org:3342526</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.3342525</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/ipin</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>indoor positioning</dc:subject>
  <dc:subject>Wi-Fi</dc:subject>
  <dc:subject>fingerprinting</dc:subject>
  <dc:subject>tracking</dc:subject>
  <dc:subject>multiple interfaces</dc:subject>
  <dc:title>Wi-Fi Fingerprinting dataset with multiple simultaneous interfaces</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
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