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Scalable and Consistent Radio Map Management Scheme for Participatory Sensing-based Wi-Fi Fingerprinting
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- Authors
- Yungeun Kim, Yohan Chon, Hojung Cha, MyungIn Ji, Sangjoon Park
- Issue Date
- 2013-04
- Citation
- International Workshop on Mobile Sensing (WMS) 2013, pp.1-5
- Language
- English
- Type
- Conference Paper
- Abstract
- Although Wi-Fi fingerprinting is a promising solution for indoor localization, its widespread use is limited due to the necessity of time-consuming site survey. Recently, active research has been conducted to reduce site-survey cost with participatory sensing. However, most of the previous schemes focused on construction of radio map, but not on radio map management regarding scalability and consistency issues. Radio map construction should handle a large amount of data collected from many people over a long period in limited space. It should also guarantee consistent accuracy regardless of time and user context, such as device type and direction. In this paper, we describe a radio map management scheme, based on fingerprint clustering technique, which considers both the scalability and consistency issues. The proposed scheme clusters the fingerprints collected at different times with different types of devices and picks a cluster head as a representative fingerprint. We validate the feasibility of the proposed scheme with real experiments in an office environment.
- KSP Keywords
- Cluster Head(CH), Clustering Technique, Data collected, IEEE 802.11(Wi-Fi), Limited space, Long period, Participatory sensing, Radio map construction, Site survey, User Context, WiFi fingerprinting