An Indoor Positioning System Using RSSI and BSSID

被引：0

作者：

Lee, Sunmin ^{[1
]}

Moon, Nammee ^{[1
]}

机构：

[1] Hoseo Univ, Dept Comp Engn, 20,Hoseo Ro 79Beon Gil, Asan 31499, Chungcheongnam, South Korea

来源：

ADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING | 2018年 / 474卷

基金：

新加坡国家研究基金会;

关键词：

Location recognition; Location based service; Random Forest; Fingerprint;

D O I：

10.1007/978-981-10-7605-3_165

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 Random-Forest 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.

引用

页码：1031 / 1036

页数：6

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