Crowdsource Based Indoor Localization by Uncalibrated Heterogeneous Wi-Fi Devices
- Authors
- Kim, Wooseong; Yang, Sungwon; Gerla, Mario; Lee, Eun-Kyu
- Issue Date
- 2016
- Publisher
- HINDAWI LTD
- Citation
- MOBILE INFORMATION SYSTEMS
- Journal Title
- MOBILE INFORMATION SYSTEMS
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/9749
- DOI
- 10.1155/2016/4916563
- ISSN
- 1574-017X
- Abstract
- 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.
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Collections - IT융합대학 > 컴퓨터공학과 > 1. Journal Articles
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