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Title: Estudio de algoritmos de aprendizaje automático para el cálculo del LoRaWAN fingerprinting para posicionamiento en exteriores
Author: Torre Barrio, Lucas de
Tutor: Torres-Sospedra, Joaquín  
Others: Lozano Bagén, Antonio  
Abstract: The objective of this Master's Thesis (TFM) is to explore the possibility of predicting outdoor positions based on signals sent to LoRaWAN devices using machine learning techniques similar to those used to predict indoor positions based on WiFi signals. Different machine learning algorithms have been used to evaluate their ability to predict positions from LoRaWAN signals. The results obtained show that it is possible to predict outdoor positions with an acceptable accuracy using machine learning techniques and LoRaWAN signals. In conclusion, this TFM demonstrates that machine learning techniques can be successfully applied to predict outdoor positions based on signals sent to LoRaWAN devices. This research could have significant implications for the development of more accurate and efficient outdoor positioning systems for IoT applications.
Keywords: LoRaWAN fingerprinting
outdoor positioning
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 23-Jun-2023
Publication license:  
Appears in Collections:Bachelor thesis, research projects, etc.

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