Abstract
А method of trilateration based on measuring the received signal’s level RSSI and calculating the distance from the subscriber's device to the visible access points is the most common locating mechanism in the Wi-Fi network. The application of this mechanism requires a complete understanding of the premises configuration, the number and material of obstacles separating the transmitting and receiving antennas which is not possible to obtain from RSSI. In this paper, the capabilities of the taxonomic decision-making method for predicting the location of mobile objects in an indoor Wi-Fi network in order to fill in the missing data on the parameters of the premises and obstacles separating access points and mobile objects are considered.
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