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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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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
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  "description": "<p>&nbsp; &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.</p>\n\n<p>&nbsp; &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:</p>\n\n<p>&nbsp; &nbsp; &nbsp; &nbsp; Moreira, A., Silva, I., Meneses, F., Nicolau, M. J., Pendao, C., &amp; Torres-Sospedra, &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</p>\n\n<p>&nbsp; &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.</p>\n\n<p>&nbsp; &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).</p>\n\n<p>&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Algoritmi Research Centre, University of Minho, Portugal", 
      "@id": "https://orcid.org/0000-0002-8967-118X", 
      "@type": "Person", 
      "name": "Adriano Moreira"
    }, 
    {
      "affiliation": "Algoritmi Research Centre, University of Minho, Portugal", 
      "@id": "https://orcid.org/0000-0001-6172-5855", 
      "@type": "Person", 
      "name": "Maria Jo\u00e3o Nicolau"
    }, 
    {
      "affiliation": "Algoritmi Research Centre, University of Minho, Portugal", 
      "@id": "https://orcid.org/0000-0002-5423-0624", 
      "@type": "Person", 
      "name": "Ivo Silva"
    }, 
    {
      "affiliation": "University Jaume I", 
      "@id": "https://orcid.org/0000-0003-4338-4334", 
      "@type": "Person", 
      "name": "Joaqu\u00edn Torres-Sospedra"
    }
  ], 
  "url": "https://zenodo.org/record/3342526", 
  "datePublished": "2019-09-10", 
  "version": "1.0", 
  "keywords": [
    "indoor positioning", 
    "Wi-Fi", 
    "fingerprinting", 
    "tracking", 
    "multiple interfaces"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/1f630c49-1ff3-4c04-9614-f1b5c76d21d3/ZENODO_3342526.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
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  "identifier": "https://doi.org/10.5281/zenodo.3342526", 
  "@id": "https://doi.org/10.5281/zenodo.3342526", 
  "@type": "Dataset", 
  "name": "Wi-Fi Fingerprinting dataset with multiple simultaneous interfaces"
}
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