Predicting the location of the mobile subscriber in the Wi-Fi network
https://doi.org/10.55648/1998-6920-2022-16-3-101-111
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.
About the Authors
Ju. S. Lizneva
Siberian State University of Telecommunications and Information Science
Russian Federation
Russian Federation
Julia S. Lizneva - Candidate of technical sciences, Assistant professor, Siberian State University of Telecommunications and Information Science, SibSUTIS.
Novosibirsk.
E. V. Kokoreva
Siberian State University of Telecommunications and Information Science
Russian Federation
Russian Federation
Elena V. Kokoreva - Candidate of technical sciences, Assistant professor, Siberian State University of Telecommunications and Information Science, SibSUTIS.
Novosibirsk.
A. E. Kostyukovich
Siberian State University of Telecommunications and Information Science
Russian Federation
Russian Federation
Anatoliy E. Kostyukovich - Candidate of technical sciences, Assistant professor, Siberian State University of Telecommunications and Information Science, SibSUTIS.
Novosibirsk.
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Review
For citations:
Lizneva J.S., Kokoreva E.V., Kostyukovich A.E. Predicting the location of the mobile subscriber in the Wi-Fi network. The Herald of the Siberian State University of Telecommunications and Information Science. 2022;(3):101-111. (In Russ.) https://doi.org/10.55648/1998-6920-2022-16-3-101-111
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