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Robust Indoor Localization Methods Using Random Forest-Based Filter against MAC Spoofing Attack
With the development of wireless networks and mobile devices, interest on indoor localization systems (ILSs) has increased. In particular, Wi-Fi-based ILSs are widely used because of the good prediction accuracy without additional hardware. However, as the prediction accuracy decreases in environmen...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730504/ https://www.ncbi.nlm.nih.gov/pubmed/33255976 http://dx.doi.org/10.3390/s20236756 |