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

The UTMInDualSymFi database contains a comprehensive source of dual-band Wi-Fi RSSI data.

In total, Wi-Fi RSSI data for fingerprinting positioning were collected from 4 residential buildings 
within Universiti Teknologi Malaysia (UTM) campus:

    - building 1 = F04 (raw training data + test data + radio maps)
    - building 2 = CX1 (raw training data + test data + radio maps)
    - building 3 = F03 (test data only)
    - building 4 = CY2 (test data only)

Buildings 1,3 are similar in structure, symmetric in layout and locations of access points.
Buildings 2,4 are similar in structure, symmetric in layout and locations of access points.

Each building is multi-floor, with multiple wings at each floor. Wings are labeled as A,B,C.

The floor(s)-wing(s) of each building at which data were collected are listed:

    Building    Floor-wing
    --------    ----------
       F04           3-A
       F04           3-B
       F04           3-C
       F04           4-A
       F04           4-B
       F04           4-C
       CX1           3-A
       CX1           3-B
       CX1           5-A
       CX1           5-B
       F03           4-A
       F03           4-B
       F03           4-C    

Data were collected on two laptop devices. Devices are distinguished by wireless network adapters:

    - Device 1 = Intel
    - Device 2 = Qualcomm

RSSI values range between -50 dBm and -100 dBm
RSSI of (+)100 dBm signifies non detection of a certain access point/source

Further details are provided in 'README.txt' (included in the data package).

Detailed, data elaboration and benchmark performance analysis are reported in the related data descriptor publication: 

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. Data 2023, 8, 14. https://doi.org/10.3390/data8010014