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WIF4InL: Web-based integration framework for Indoor location

Long Niu (Graduate School of System Informatics, Kobe University, Kobe, Japan)
Sachio Saiki (Graduate School of System Informatics, Kobe University, Kobe, Japan)
Shinsuke Matsumoto (Graduate School of System Informatics, Kobe University, Kobe, Japan)
Masahide Nakamura (Graduate School of System Informatics, Kobe University, Kobe, Japan)

International Journal of Pervasive Computing and Communications

ISSN: 1742-7371

Article publication date: 4 April 2016

218

Abstract

Purpose

The purpose of this paper is to establish an application platform that addresses expensive development cost and effort of indoor location-aware application (InL-Apps) problems caused by tightly coupling between InL-App and indoor positioning systems (IPSs).

Design/methodology/approach

To achieve this purpose, in this paper, the authors proposes a Web-based integration framework called Web-based Integration Framework for Indoor Location (WIF4InL). With a common data model, WIF4InL integrates indoor location data obtained from heterogeneous IPS. It then provides application-neutral application programming interface (API) for various InL-Apps.

Findings

The authors integrate two different IPS (RedPin and BluePin) using WIF4InL and conduct a comparative study which is based on sufficiency of essential capabilities of location-dependent queries among three systems: RedPin, BluePin and WIF4InL. WIF4InL supports more capabilities for the location-dependent queries. Through the data and operation integration, WIF4InL even enriches the existing proprietary IPS.

Originality/value

As WIF4InL allows the loose coupling between IPS and InL-Apps, it significantly improves reusability of indoor location information and operation.

Keywords

Acknowledgements

This research was partially supported by the Japan Ministry of Education, Science, Sports and Culture [Grant-in-Aid for Scientific Research (B) (Number 26280115, Number 15H02701), Young Scientists (B) (Number 26730155) and Challenging Exploratory Research (15K12020)].

Citation

Niu, L., Saiki, S., Matsumoto, S. and Nakamura, M. (2016), "WIF4InL: Web-based integration framework for Indoor location", International Journal of Pervasive Computing and Communications, Vol. 12 No. 1, pp. 49-65. https://doi.org/10.1108/IJPCC-01-2016-0009

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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