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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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3342526", 
  "language": "eng", 
  "title": "Wi-Fi Fingerprinting dataset with multiple simultaneous interfaces", 
  "issued": {
    "date-parts": [
      [
        2019, 
        9, 
        10
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "Adriano Moreira"
    }, 
    {
      "family": "Maria Jo\u00e3o Nicolau"
    }, 
    {
      "family": "Ivo Silva"
    }, 
    {
      "family": "Joaqu\u00edn Torres-Sospedra"
    }
  ], 
  "note": "This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT\u2014Funda\u00e7\u00e3o para a Ci\u00eancia 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).", 
  "version": "1.0", 
  "type": "dataset", 
  "id": "3342526"
}
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