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2018 | OriginalPaper | Chapter

An Indoor Positioning System Using RSSI and BSSID

Authors : Sunmin Lee, Nammee Moon

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

Research on indoor positioning technology has been carried out using various methods including WiFi, BLE, and terrestrial magnetism. The present proposes a system providing location information by collecting WiFi data (RSSI, BSSID). The proposed system applies an ensemble learning method of RandomForest to compare differentiation performance. RSSI and BSSID were used as differentiation performance variables, and the proposed indoor space was divided into grid shapes for the experiment. The algorithm presented in the experiment proves improved speed and accuracy compared to a RandomForest method that uses RSSI alone. The present study is expected to be utilized in the fields of indoor navigation and emergency rescue.

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Metadata
Title
An Indoor Positioning System Using RSSI and BSSID
Authors
Sunmin Lee
Nammee Moon
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-10-7604-6

Electronic ISBN: 978-981-10-7605-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7605-3_165