A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN

@article{Anagnostopoulos2019ARC,
  title={A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN},
  author={Grigorios G. Anagnostopoulos and Alexandros Kalousis},
  journal={2019 16th Workshop on Positioning, Navigation and Communications (WPNC)},
  year={2019},
  pages={1-6}
}
The use of fingerprinting localization techniques in outdoor IoT settings has started gaining popularity over the recent years. Communication signals of Low Power Wide Area Networks (LPWAN), such as LoRaWAN, are used to estimate the location of low power mobile devices. In this study, a publicly available dataset of LoRaWAN RSSI measurements is utilized to compare different machine learning methods and their accuracy in producing location estimates. The tested methods are: the k Nearest… Expand
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