WiFi Fingerprint Indoor Localization Employing Adaboost and Probability-One Access Point Selection for Multi-Floor Campus Buildings

Indoor positioning systems have become increasingly important due to the rapid expansion of Internet of Things (IoT) technologies, especially for providing precise location-based services in complex environments such as multi-floor campus buildings. This paper presents a WiFi fingerprint indoor loca...

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Detalles Bibliográficos

Principais autores:	Shanyu Jin, Dongwoo Kim
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-12-01
Series:	Future Internet
Assuntos:	indoor localization WiFi fingerprints Adaboost received signal strength probability-one access point (AP) filtering
Acceso en liña:	https://www.mdpi.com/1999-5903/16/12/466
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