Indoor location based services challenges, requirements and usability of current solutions

Basiri, A. , Lohan, E. S., Moore, T., Winstanley, A., Peltola, P., Hill, C., Amirian, P. and Figueiredo e Silva, P. (2017) Indoor location based services challenges, requirements and usability of current solutions. Computer Science Review, 24, pp. 1-12. (doi: 10.1016/j.cosrev.2017.03.002)

Abstract

Indoor Location Based Services (LBS), such as indoor navigation and tracking, still have to deal with both technical and non-technical challenges. For this reason, they have not yet found a prominent position in people’s everyday lives. Reliability and availability of indoor positioning technologies, the availability of up-to-date indoor maps, and privacy concerns associated with location data are some of the biggest challenges to their development. If these challenges were solved, or at least minimized, there would be more penetration into the user market. This paper studies the requirements of LBS applications, through a survey conducted by the authors, identifies the current challenges of indoor LBS, and reviews the available solutions that address the most important challenge, that of providing seamless indoor/outdoor positioning. The paper also looks at the potential of emerging solutions and the technologies that may help to handle this challenge.

• Item Type: Articles
• Additional Information: This research was supported financially by EU FP7 Marie Curie Initial Training Network MULTI-POS (Multi-technology Positioning Professionals) [grant number 316528].
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Basiri, Professor Ana
• Authors: Basiri, A., Lohan, E. S., Moore, T., Winstanley, A., Peltola, P., Hill, C., Amirian, P., and Figueiredo e Silva, P.
• College/School: College of Science and Engineering > School of Geographical and Earth Sciences
• Journal Name: Computer Science Review
• Publisher: Elsevier
• ISSN: 1574-0137
• ISSN (Online): 1876-7745
• Published Online: 25 April 2017
• Copyright Holders: Copyright © 2017 Elsevier Inc.
• First Published: First published in Computer Science Review 24: 1-12
• Publisher Policy: Reproduced in accordance with the publisher copyright policy