Autonomous smartphone-based WiFi positioning system by using access points localization and crowdsourcing

被引：88
|
作者：
Zhuang, Y. [1 ]
Syed, Z. [2 ]
Georgy, J. [2 ]
El-Sheimy, N. [1 ]
机构：
[1] Univ Calgary, Dept Geomat Engn, Calgary, AB, Canada
[2] InvenSense Inc, Calgary, AB, Canada
来源：
PERVASIVE AND MOBILE COMPUTING | 2015年 / 18卷
关键词：
Access point localization; Inertial navigation; WiFi positioning; Smartphone; Crowdsourcing;
D O I：
10.1016/j.pmcj.2015.02.001
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The survey of WiFi access points (APs) locations and their propagation parameters (PPs) is a time and labour consuming process, which makes WiFi positioning impractical. In this paper, a novel crowdsourcing method is introduced. The proposed method is used for automatic AP localization and PPs estimation by employing an inertial navigation solution, such as Trusted Portable Navigator (T-PN). The proposed system runs on smartphones, from which it builds and updates the database autonomously and adaptively to account for the dynamic environment. A WiFi positioning method, based on the generated database, is also discussed. The proposed system is validated by both simulated and experimental tests. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：118 / 136
页数：19
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