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