Improving Indoor WiFi Localization by Using Machine Learning Techniques

Improving Indoor WiFi Localization by Using Machine Learning Techniques

Accurate and robust positioning has become increasingly essential for emerging applications and services. While GPS (global positioning system) is widely used for outdoor environments, indoor positioning remains a challenging task. This paper presents a novel architecture for indoor positioning, lev...

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Bibliographic Details
Main Authors: Hanieh Esmaeili Gorjan, Víctor P. Gil Jiménez
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Sensors
Subjects:
WiFi positioning
machine learning
random forest
KNN
NN
catBoost
Online Access:https://www.mdpi.com/1424-8220/24/19/6293

Internet

https://www.mdpi.com/1424-8220/24/19/6293

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