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

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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Bibliographic Details
Main Authors: Shanyu Jin, Dongwoo Kim
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Future Internet
Subjects:
indoor localization
WiFi fingerprints
Adaboost
received signal strength
probability-one access point (AP) filtering
Online Access:https://www.mdpi.com/1999-5903/16/12/466
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