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Server-Based Indoor Location Detection System

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Mobile Web and Intelligent Information Systems (MobiWIS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10995))

Abstract

With the advancement of technology and telecommunication services, data consumption rates are increasing ever since. People for long have started using applications with the help of contextual information to improve their user experience. Thus, providing a cross-platform location service to further enrich such applications has become a necessity. For this purpose, numerous client-based indoor location systems on mobile devices are developed to perform this task. Nevertheless, most of the time these systems suffer from elimination of features from operating systems for security purposes. Indeed, with the current security trends, to ensure the privacy of mobile users, mobile operating system designers are progressively eliminating certain low-level features such as reading RSSI and introducing randomized MAC addresses. Thus, in this study, the authors propose, design and implement a server-based indoor positioning system to eliminate platform dependency and to provide the location detection in wide range of devices. The designed server-based system is scalable and platform independent; hence can run on virtually any family of smart device. Furthermore, the evaluation findings indicate that the proposed system performs in acceptable accuracy to client-based systems compared to more complex and costly implementations.

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References

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Correspondence to Osman Kerem Perente .

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Perente, O.K., Serif, T. (2018). Server-Based Indoor Location Detection System. In: Younas, M., Awan, I., Ghinea, G., Catalan Cid, M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2018. Lecture Notes in Computer Science(), vol 10995. Springer, Cham. https://doi.org/10.1007/978-3-319-97163-6_12

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  • DOI: https://doi.org/10.1007/978-3-319-97163-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97162-9

  • Online ISBN: 978-3-319-97163-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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