Crowdsource Based Indoor Localization by Uncalibrated Heterogeneous Wi-Fi Devices
Joint Authors
Gerla, Mario
Kim, Wooseong
Yang, Sungwon
Lee, Eun-Kyu
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-21
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Telecommunications Engineering
Abstract EN
Many indoor localization techniques that rely on received signals from Wi-Fi access points have been explored in the last decade.
Recently, crowdsourced Wi-Fi fingerprint attracts much attention, which leads to a self-organized localization system avoiding painful survey efforts.
However, this participatory approach introduces new challenges with no previously proposed techniques such as heterogeneous devices, short measurement time, and multiple values for a single position.
This paper proposes an efficient localization method combating the three major technical issues in the crowdsourcing based systems.
We evaluate our indoor positioning method using 5 places with different radio environment and 8 different mobile phones.
The experimental results show that the proposed approach provides consistent localization accuracy and outperforms existing localization algorithms.
American Psychological Association (APA)
Kim, Wooseong& Yang, Sungwon& Gerla, Mario& Lee, Eun-Kyu. 2016. Crowdsource Based Indoor Localization by Uncalibrated Heterogeneous Wi-Fi Devices. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1111507
Modern Language Association (MLA)
Kim, Wooseong…[et al.]. Crowdsource Based Indoor Localization by Uncalibrated Heterogeneous Wi-Fi Devices. Mobile Information Systems No. 2016 (2016), pp.1-18.
https://search.emarefa.net/detail/BIM-1111507
American Medical Association (AMA)
Kim, Wooseong& Yang, Sungwon& Gerla, Mario& Lee, Eun-Kyu. Crowdsource Based Indoor Localization by Uncalibrated Heterogeneous Wi-Fi Devices. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1111507
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111507