Beacon Placement Algorithm for Hybrid Indoor Positioning with Wi-Fi and Bluetooth Low Energy

被引：0
|
作者：
Nuradha, Theshani [1 ]
Gnanarathne, Induni [1 ]
Perera, Louise [1 ]
Denipitiyage, Dishanika [1 ]
Dias, Dileeka [1 ]
机构：
[1] Univ Moratuwa, Elect & Telecommun Engn, Moratuwa, Sri Lanka
来源：
2019 MORATUWA ENGINEERING RESEARCH CONFERENCE (MERCON) / 5TH INTERNATIONAL MULTIDISCIPLINARY ENGINEERING RESEARCH CONFERENCE | 2019年
关键词：
Indoor; Hybrid Wireless positioning; BLE; Wi-Fi;
D O I：
10.1109/mercon.2019.8818845
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Indoor positioning by wireless means is of significant interest in a wide range of applications; Wi-Fi and Bluetooth Low Energy (BLE) are popular candidate wireless technologies for this. We present a novel BLE beacon placement algorithm that complements existing Wi-Fi infrastructure in a hybrid Wi-Fi/BLE positioning system. Composite signal strength measurements thus obtained, are used to derive machine learning models for location estimation. Our results show that positioning estimates at table level granularity (0.9 m x 1.8 m) in a computer laboratory can be achieved with 97% accuracy. This is an improvement of 20% and 30% compared to Wi-Fi and BLE only techniques respectively.
引用
收藏
页码：135 / 140
页数：6
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