MFA-OSELM algorithm for WiFi-based indoor positioning system
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 algo...
Main Authors: | Al-Khaleefa, Ahmed Salih, Mohd Riduan, Ahmad, Azmi Awang, Md Isa, Al-Saffar, Ahmed Ali Mohammed, Mona Riza, Mohd Esa, Reza Firsandaya, Malik |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/25709/ http://umpir.ump.edu.my/id/eprint/25709/ http://umpir.ump.edu.my/id/eprint/25709/ http://umpir.ump.edu.my/id/eprint/25709/1/MFA-OSELM%20algorithm%20for%20WiFi-based%20indoor%20positioning%20system.pdf |
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