A Reproducible Analysis of RSSI Fingerprinting for Outdoors Localization Using Sigfox: Preprocessing and Hyperparameter Tuning (datasets)

The train/validation/test sets used in the study "A Reproducible Analysis of RSSI Fingerprinting for Outdoors Localization Using Sigfox: Preprocessing and Hyperparameter Tuning". Preprint: https://arxiv.org/abs/1908.06851 Published paper: https://ieeexplore.ieee.org/document/8911792 The dataset used to create these sets was published in: http://www.mdpi.com/2306-5729/3/2/13 The full dataset is available here: https://doi.org/10.5281/zenodo.1212478 The credit for the creation of the dataset goes to Aernouts, Michiel; Berkvens, Rafael; Van Vlaenderen, Koen; and Weyn, Maarten.

Keywords

IoT, Fingerprinting, Sigfox, Localization, Positioning, Reproducibility, Preprocessing, Machine Learning, knn

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