Knowledge Preserving OSELM Model for Wi-Fi-Based Indoor Localization

Knowledge Preserving OSELM Model for Wi-Fi-Based Indoor Localization

Wi-Fi has shown enormous potential for indoor localization because of its wide utilization and availability. Enabling the use of Wi-Fi for indoor localization necessitates the construction of a fingerprint and the adoption of a learning algorithm. The goal is to enable the use of the fingerprint in...

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Bibliographic Details
Main Authors: Ahmed Salih AL-Khaleefa, Mohd Riduan Ahmad, Azmi Awang Md Isa, Mona Riza Mohd Esa, Yazan Aljeroudi, Mohammed Ahmed Jubair, Reza Firsandaya Malik
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
fingerprint
indoor localization
learning
Wi-Fi
extreme learning machine
Online Access:https://www.mdpi.com/1424-8220/19/10/2397

Internet

https://www.mdpi.com/1424-8220/19/10/2397

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