Robust 3D indoor positioning system based on radio map using Bayesian network

Citation

Alhammadi, Abdulraqeb Shaif Ahmed and Alraih, Saddam and Hashim, Fazirulhisyam and A. Rasid, Mohd Fadlee (2019) Robust 3D indoor positioning system based on radio map using Bayesian network. In: 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 15-18 Apr. 2019, Limerick, Ireland. (pp. 1-4).

Abstract

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.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/WF-IoT.2019.8767318
Publisher:	IEEE
Keywords:	Bayesian network; Positioning; Fingerprinting
Depositing User:	Nabilah Mustapa
Date Deposited:	15 Jun 2020 07:30
Last Modified:	15 Jun 2020 07:30
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/WF-IoT.2019.8767318
URI:	http://psasir.upm.edu.my/id/eprint/36209
Statistic Details:	View Download Statistic

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