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...

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Bibliographic Details
Main Authors: Andrea Piroddi, Maurizio Torregiani
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Network
Subjects:
Online Access:https://www.mdpi.com/2673-8732/3/1/10