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MFA-OSELM Algorithm for WiFi-Based Indoor Positioning System
2019
Information
Indoor localization is a dynamic and exciting research area. WiFi has exhibited a tremendous capability for internal localization since it is extensively used and easily accessible. Facilitating the use of WiFi for this purpose requires fingerprint formation and the implementation of a learning algorithm with the aim of using the fingerprint to determine locations. The most difficult aspect of techniques based on fingerprints is the effect of dynamic environmental changes on fingerprint
doi:10.3390/info10040146
fatcat:6t73uyz7sfenxovbnsdwvmzqni