Improving accuracy of indoor localization system using ensemble learning

Improving accuracy of indoor localization system using ensemble learning

Recent innovations in Light-emitting diode (LED) technology and Internet of Things applications have promoted the development of visible light communication and localization applications. LED-based indoor positioning application has been a potential topic attracting the attention of many researchers...

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Bibliographic Details
Published in:Systems science & control engineering Vol. 10; no. 1; pp. 645 - 652
Main Authors: Tran, Huy Q., Nguyen, Tan Van, Huynh, Tuan Van, Tran, Nhiem Quoc
Format: Journal Article
Language:English
Published: Macclesfield Taylor & Francis 31-12-2022
Taylor & Francis Ltd
Taylor & Francis Group
Subjects:
Accuracy
Algorithms
Cameras
Cost analysis
Engineering
Ensemble learning
Indoor localization
Internet of Things
Kalman filters
Layouts
Light emitting diodes
Localization
Machine learning
Mathematical models
Noise
Open access publishing
Optical communication
Physics
Sensors
Systems science
Trilateration
visible light
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Summary:Recent innovations in Light-emitting diode (LED) technology and Internet of Things applications have promoted the development of visible light communication and localization applications. LED-based indoor positioning application has been a potential topic attracting the attention of many researchers because this positioning technique provides high accuracy, low cost, simple operation, and medium complexity. This paper focuses on analyzing the positioning quality with different LED layout structures. Furthermore, we consider the influence of noise in these models through the ensemble learning algorithm. We also combine the ensemble learning method with the trilateration algorithm in the proposed solution. The numerical simulation results show that the proposed solution respectively achieved a positioning accuracy of 0.023, 0.011, and 0.009 m when we considered the negative effect of all noises in 3 distinct layouts: 3 LEDs, 4LEDs, and 5 LEDs.
ISSN:2164-2583
2164-2583
DOI:10.1080/21642583.2022.2092782