Machine Learning Applied to LoRaWAN Network for Improving Fingerprint Localization Accuracy in Dense Urban Areas
In the area of low-power wireless networks, one technology that many researchers are focusing on relates to positioning methods such as fingerprinting in densely populated urban areas. This work presents an experimental study aimed at quantifying mean location estimation error in populated areas. Us...
Main Authors: | Andrea Piroddi, Maurizio Torregiani |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
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Series: | Network |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-8732/3/1/10 |
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