Dataset Open Access

Wi-Fi Fingerprinting dataset with multiple simultaneous interfaces

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


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  <identifier identifierType="DOI">10.5281/zenodo.3342526</identifier>
  <creators>
    <creator>
      <creatorName>Adriano Moreira</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8967-118X</nameIdentifier>
      <affiliation>Algoritmi Research Centre, University of Minho, Portugal</affiliation>
    </creator>
    <creator>
      <creatorName>Maria João Nicolau</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6172-5855</nameIdentifier>
      <affiliation>Algoritmi Research Centre, University of Minho, Portugal</affiliation>
    </creator>
    <creator>
      <creatorName>Ivo Silva</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5423-0624</nameIdentifier>
      <affiliation>Algoritmi Research Centre, University of Minho, Portugal</affiliation>
    </creator>
    <creator>
      <creatorName>Joaquín Torres-Sospedra</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4338-4334</nameIdentifier>
      <affiliation>University Jaume I</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Wi-Fi Fingerprinting dataset with multiple simultaneous interfaces</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>indoor positioning</subject>
    <subject>Wi-Fi</subject>
    <subject>fingerprinting</subject>
    <subject>tracking</subject>
    <subject>multiple interfaces</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-09-10</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3342526</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3342525</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ipin</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&amp;nbsp; &amp;nbsp; 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.&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp; 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:&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Moreira, A., Silva, I., Meneses, F., Nicolau, M. J., Pendao, C., &amp;amp; Torres-Sospedra, &amp;nbsp;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&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp; 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.&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp; 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).&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
    <description descriptionType="Other">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).</description>
  </descriptions>
</resource>
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