UTMInDualSymFi: A Dataset of Dual-band Wi-Fi RSSI Data in Symmetric Indoor Environments

<p>The UTMInDualSymFi database contains a comprehensive source of dual-band Wi-Fi RSSI data.</p> <p>In total, Wi-Fi RSSI data for fingerprinting positioning were collected from 4 residential buildings&nbsp;<br> within Universiti Teknologi Malaysia (UTM) campus:</p> <p>&nbsp;&nbsp; &nbsp;- building 1 = F04 (raw training data + test data + radio maps)<br> &nbsp;&nbsp; &nbsp;- building 2 = CX1 (raw training data + test data + radio maps)<br> &nbsp;&nbsp; &nbsp;- building 3 = F03 (test data only)<br> &nbsp;&nbsp; &nbsp;- building 4 = CY2 (test data only)</p> <p>Buildings 1,3 are similar in structure,&nbsp;symmetric in layout&nbsp;and locations of access points.<br> Buildings 2,4 are similar in structure, symmetric in layout and locations of access points.</p> <p>Each building is multi-floor, with multiple wings at each floor. Wings are labeled as A,B,C.</p> <p>The floor(s)-wing(s) of each building at which data were collected are listed:</p> <p>&nbsp;&nbsp; &nbsp;Building&nbsp;&nbsp; &nbsp;Floor-wing<br> &nbsp;&nbsp; &nbsp;--------&nbsp;&nbsp; &nbsp;----------<br> &nbsp;&nbsp; &nbsp; &nbsp; F04&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 3-A<br> &nbsp;&nbsp; &nbsp; &nbsp; F04&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 3-B<br> &nbsp;&nbsp; &nbsp; &nbsp; F04&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 3-C<br> &nbsp;&nbsp; &nbsp; &nbsp; F04&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 4-A<br> &nbsp;&nbsp; &nbsp; &nbsp; F04&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 4-B<br> &nbsp;&nbsp; &nbsp; &nbsp; F04&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 4-C<br> &nbsp;&nbsp; &nbsp; &nbsp; CX1&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 3-A<br> &nbsp;&nbsp; &nbsp; &nbsp; CX1&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 3-B<br> &nbsp;&nbsp; &nbsp; &nbsp; CX1&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 5-A<br> &nbsp;&nbsp; &nbsp; &nbsp; CX1&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 5-B<br> &nbsp;&nbsp; &nbsp; &nbsp; F03&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 4-A<br> &nbsp;&nbsp; &nbsp; &nbsp; F03&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 4-B<br> &nbsp;&nbsp; &nbsp; &nbsp; F03&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; 4-C&nbsp;&nbsp; &nbsp;</p> <p>Data were collected on two laptop devices. Devices are distinguished by wireless network adapters:</p> <p>&nbsp;&nbsp; &nbsp;- Device 1 = Intel<br> &nbsp;&nbsp; &nbsp;- Device 2 = Qualcomm</p> <p>RSSI values range between -50 dBm and -100 dBm<br> RSSI of (+)100 dBm signifies non detection of a certain access point/source</p> <p>Further details are provided in &#39;README.txt&#39; (included in the data package).</p> <p>Detailed, data&nbsp;elaboration and benchmark performance analysis are reported in the related data&nbsp;descriptor publication:&nbsp;</p> <p>Abdullah, A.; Haris, M.; Aziz, O.A.; Rashid, R.A.; Abdullah, A.S. UTMInDualSymFi: A Dual-Band Wi-Fi Dataset for Fingerprinting Positioning in Symmetric Indoor Environments.&nbsp;<em>Data</em>&nbsp;<strong>2023</strong>,&nbsp;<em>8</em>, 14. https://doi.org/10.3390/data8010014</p> <p><br> &nbsp;</p>