LoRaWAN Based Indoor Localization Using Random Neural Networks
LoRaWAN Based Indoor Localization Using Random Neural Networks
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Global Positioning Systems (GPS) are frequently used as a potential solution for localization applications. However, GPS does not work indoors due to a lack of direct Line-of-Sight (LOS) satellite signals received from the End Device (ED) due to thick solid materials blocking the ultra-high frequency signals. Furthermore, fingerprint localization u...
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Full title
LoRaWAN Based Indoor Localization Using Random Neural Networks
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TN_cdi_doaj_primary_oai_doaj_org_article_cca4e20653f54c57a49a3f87ea33a5cd
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cca4e20653f54c57a49a3f87ea33a5cd
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ISSN
2078-2489
E-ISSN
2078-2489
DOI
10.3390/info13060303
