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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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        <foaf:name>Maria João Nicolau</foaf:name>
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        <foaf:name>Ivo Silva</foaf:name>
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        <foaf:name>Joaquín Torres-Sospedra</foaf:name>
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            <foaf:name>University Jaume I</foaf:name>
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    <dct:title>Wi-Fi Fingerprinting dataset with multiple simultaneous interfaces</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2019</dct:issued>
    <dcat:keyword>indoor positioning</dcat:keyword>
    <dcat:keyword>Wi-Fi</dcat:keyword>
    <dcat:keyword>fingerprinting</dcat:keyword>
    <dcat:keyword>tracking</dcat:keyword>
    <dcat:keyword>multiple interfaces</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2019-09-10</dct:issued>
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    <dct:description>&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;</dct:description>
    <dct:description xml:lang="">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).</dct:description>
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