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Conference Paper
Data Model for Wi-Fi Based Indoor Location-Based Services
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- Authors
- Yang Koo Lee, Myungin Ji, Youngsu Cho, Jooyoung Kim, Sangjoon Park
- Issue Date
- 2013-09
- Citation
- International Conference on the Frontiers of Information Technology, Application and Tools (FITAT) 2013, pp.214-216
- Language
- English
- Type
- Conference Paper
- Abstract
- Wi-Fi devices gradually become cheap and Wi-Fi access points are becoming available everywhere. How to collect, integrate, and handle a tremendous volume of data efficiently become crucial especially when it comes to responding to users' requests. In this paper, we introduce a data model for Wi-Fi based positioning system. Owing to the essence of information related to spatial hierarchy of the space, three types of data are distinguished, namely raw data, location data, and fingerprint. They are therefore accommodated in three corresponding databases. They are then used to support localization for users in any building. We finally implemented a prototype system for an indoor environment. Experimental results show the status of data at different monitoring stage.
- KSP Keywords
- Access point, Data Model, IEEE 802.11(Wi-Fi), Indoor Location-based services, Indoor environment, Location Data, Prototype system, Raw Data, Spatial hierarchy, Wi-Fi based positioning, Wi-Fi devices