Dataset Open Access

WACA WiFi 5-GHz dataset

Sergio Barrachina-Muñoz; Boris Bellalta; Edward Knightly


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3952557", 
  "title": "WACA WiFi 5-GHz dataset", 
  "issued": {
    "date-parts": [
      [
        2020, 
        7, 
        20
      ]
    ]
  }, 
  "abstract": "<p>This folder contains the dataset presented in &quot;<em>Sergio Barrachina-Mu&ntilde;oz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi All-Channel Analyzer. WinTech (2020)</em>&quot;.</p>\n\n<p>Please, refer to the GitHub repository for more details:<br>\n<a href=\"https://github.com/sergiobarra/WACA_WiFiAnalyzer\">https://github.com/sergiobarra/WACA_WiFiAnalyzer</a></p>\n\n<p>-------------------------------------------------------------<br>\n<strong>*** Dataset structure ***</strong><br>\nThe dataset is composed of 11 scenarios, each with a corresponding folder (campaign duration within brackets):</p>\n\n<ul>\n\t<li>1_RVA: Rice Village Apartments, Houston; Apartment; 15th February 2019; 9600 iterations (~1 day)</li>\n\t<li>2_RNG: Rice Networks Group, Houston; Campus office; 19th February 2019; 8750 iterations (~1 day)</li>\n\t<li>3_TFA: Technology for All, Houston; Community center; 20th February 2019; 8609 iterations (~1 day)</li>\n\t<li>4_FLO: Flo Paris (at Rice Village), Houston; Cafe; 23rd February 2019; 413 iterations (~1 hour)</li>\n\t<li>5_VIL: Rice Village parking lot, Houston; Shopping mall; 23rd February 2019; 125 iterations (~20 min)</li>\n\t<li>6_FEL: La Sagrera neighborhood, Barcelona; Apartment; 25th March 2019; 59500 iterations (~1 week)</li>\n\t<li>7_WNO: Wireless Networking, Barcelona; Campus office; 3rd April 2019; 9600 iterations (~1 day)</li>\n\t<li>8_22A: 22@ neighborhood, Barcelona; Office area; 2nd July 2019; 9600 iterations (~1 day)</li>\n\t<li>9_GAL: Hotel Gallery, Barcelona; Downtown hotel; 10th July 2019; 9706 iterations (~1 day)</li>\n\t<li>10_SAG: Sagrada Familia, Barcelona; Apartment; 11th February 2019; 38192 iterations (~4 days)</li>\n\t<li>11_FCB: Camp Nou stadium, Barcelona; Futbol (soccer) Stadium; 4th August; 2001 iterations (~ 5 hours)</li>\n</ul>\n\n<p><strong>*** File format ***</strong></p>\n\n<ul>\n\t<li>RSSI measurements are stored in .mat files inside each scenario folder.</li>\n\t<li>.mat files are named &quot;it&lt;iteration number&gt;_&lt;mm-dd-yy&gt;_&lt;hh:mm:ss&gt;.mat&quot;. For instance file &quot;it0251_02-19-19_08-03-09.mat&quot; refers to iteration number 251, initiated on 19th February 2019 at 08:03:09.</li>\n\t<li>Every .mat file contains 24 arrays 10000x1, one per basic channel, where the <em>i</em>th element represents the RSSI value at sample <em>i </em>(of duration 10 microseconds) inside the iteration (of duration 1 second).</li>\n\t<li>The RSSI value is given in the units of the MAX2829 transceiver (10-bit values). Please, refer to the transceiver datasheet or to our GitHub repository to see how to convert from 10-bit values to dBm.</li>\n\t<li>Finally, every scenario folder also contains the &quot;experiment_general.mat&quot;. This file is auxiliary and contains different constants of interest related to the configuration of the campaigns.</li>\n</ul>\n\n<p><strong>*** How do I process the dataset? ***</strong><br>\nWe provide the RSSI measurements for every channel in every scenario. You may generate a Matlab snippet to process the data.<br>\nNevertheless, the Matlab code we used in the paper &quot;<em>Sergio Barrachina-Mu&ntilde;oz, Boris Bellalta, and Edward Knightly. 2020. Wi-Fi All-Channel Analyzer. WinTech (2020)</em>&quot; can be found in the GitHub repository.</p>", 
  "author": [
    {
      "family": "Sergio Barrachina-Mu\u00f1oz"
    }, 
    {
      "family": "Boris Bellalta"
    }, 
    {
      "family": "Edward Knightly"
    }
  ], 
  "version": "1.0", 
  "type": "dataset", 
  "id": "3952557"
}
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