MurdochBushCourtLoC: Wifi-Based Localisation Datasets for No-GPS Open Areas Using Smart Bins
Published: 21 February 2020| Version 2 | DOI: 10.17632/rdhfvhyg5p.2
Contributors:
Mohamed A. nassar, , , , , , Azifa Rumy, , Description
The First Wifi-Based Localisation/Positioning Datasets for No-GPS Open Areas Using Smart Bins. There are two directories: datasets It contains two main types of datasets: 1- Fingerprint dataset fingerprint.csv contains four users who generated fingerprints using their mobile devices. 2- APs dataset APs.csv: a huge dataset contains auto-generate rss reported by APs. APs_users_date_time_label.csv: it contains a labelled APs_four_users_label.csv for four users only. scripts This directory contains all jupyter notebooks used to create datasets and provide statistical analysis (normalisation, t-test, etc.) and visualisations (historgrams, box-plots, etc_
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Institutions
Murdoch University
Categories
Communication, Mobile Communication, Networking