Please use this identifier to cite or link to this item: https://scholar.dlu.edu.vn/handle/123456789/2720
Title: Evaluation of Valued Tolerance Rough Set and Decision Rules Method for WiFi-based Indoor Localization in Different Environments
Authors: Dương, Bảo Ninh 
He, Jing
Nguyễn, Thị Lương 
Nguyễn, Hữu Khánh 
Lee, Seon-Woo
Keywords: Indoor localization;WiFi fingerprinting;VTRS-DR
Issue Date: 2023-06
Place of publication: Springer Link
Publisher: Springer
Journal: Intelligent Systems & Networks
Pages: 1-9
Conference: Intelligent Systems & Networks (ICISN 2023)
Abstract: 
Among various technologies being applied for indoor localization, WiFi has become a reliable source of information to determine the pedestrian’s position due to the widespread of WiFi access points in indoor environments. In this paper, the valued tolerance rough set and decision rules method (VTRS-DR), which is firstly registered to WiFi fingerprinting-based localization, will be implemented and evaluated using two public datasets. The first one was conducted by a subject using a smartphone at a library including two floors in several months. Furthermore, to evaluate the localization accuracy when WiFi data was collected from different pedestrians as well as different smartphones, a crowdsourced WiFi fingerprinting dataset was utilized. From the deep analyses of localization results, the VTRS-DR method shows high accuracy and high robustness when testing in different environments with a mean error of 3.84 m, which is 27.87% lower than other compared methods.
URI: https://scholar.dlu.edu.vn/handle/123456789/2720
Type: Bài báo đăng trên tạp chí thuộc SCOPUS, bao gồm book chapter
Appears in Collections:Tạp chí (Khoa Toán - Tin học)

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