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LoRaWAN Based Indoor Localization Using Random Neural Networks

LoRaWAN Based Indoor Localization Using Random Neural Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cca4e20653f54c57a49a3f87ea33a5cd

LoRaWAN Based Indoor Localization Using Random Neural Networks

About this item

Full title

LoRaWAN Based Indoor Localization Using Random Neural Networks

Publisher

Basel: MDPI AG

Journal title

Information (Basel), 2022-06, Vol.13 (6), p.303

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

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...

Alternative Titles

Full title

LoRaWAN Based Indoor Localization Using Random Neural Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_cca4e20653f54c57a49a3f87ea33a5cd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cca4e20653f54c57a49a3f87ea33a5cd

Other Identifiers

ISSN

2078-2489

E-ISSN

2078-2489

DOI

10.3390/info13060303

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