Robust 3D Indoor Positioning System Based on Radio Map Using Bayesian Network

被引：0

作者：

Alhammadi, Abdulraqeb ^{[1
]}

Alraih, Saddam ^{[2
]}

Hashim, Fazirulhisyam ^{[1
]}

Rasid, Mohd. Fadlee A. ^{[1
]}

机构：

[1] Univ Putra Malaysia, Fac Engn, Serdang, Selangor, Malaysia

[2] Univ Natl Malaysia, Fac Engn, Bangi, Selangor, Malaysia

来源：

2019 IEEE 5TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT) | 2019年

关键词：

Bayesian network; positioning; fingerprinting;

D O I：

10.1109/wf-iot.2019.8767318

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Indoor positioning remains a serious issue due to the difficulty in attaining sufficient accuracy within an indoor environment using tracking technology of low complexity. Currently, most positioning systems do not embed the off-the-shelf (OTS) system which allows mobile devices to estimate location without using any additional hardware. In this paper, we propose a robust 3D indoor positioning system that is suitable for an indoor IoT application. This system based on Bayesian network that depends on Wi-Fi signals strength. It was experimentally tested in a building with pre-deployed access points (APs). The experimental results indicate that localization accuracy of the proposed system is high with the use of a small-sized radio map.

引用

页码：107 / 110

页数：4

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