Technologies and solutions for location-based services in smart cities: past, present, and future

Usman, M., Asghar, M. R., Ansari, I. S. , Granelli, F. and Qaraqe, K. A. (2018) Technologies and solutions for location-based services in smart cities: past, present, and future. IEEE Access, 6, pp. 22240-22248. (doi: 10.1109/ACCESS.2018.2826041)

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Location-based services (LBS) in smart cities have drastically altered the way cities operate, giving a new dimension to the life of citizens. LBS rely on location of a device, where proximity estimation remains at its core. The applications of LBS range from social networking and marketing to vehicle-toeverything communications. In many of these applications, there is an increasing need and trend to learn the physical distance between nearby devices. This paper elaborates upon the current needs of proximity estimation in LBS and compares them against the available Localization and Proximity (LP) finding technologies (LP technologies in short). These technologies are compared for their accuracies and performance based on various different parameters, including latency, energy consumption, security, complexity, and throughput. Hereafter, a classification of these technologies, based on various different smart city applications, is presented. Finally, we discuss some emerging LP technologies that enable proximity estimation in LBS and present some future research areas.

Item Type:Articles
Additional Information:This work has been supported by Ooredoo, Qatar. Parts of this article, specifically Section IV and Section V have been supported by the National Priorities Research Program (NPRP) under grant number #NPRP9-077-2-036 from the Qatar National Research Fund (QNRF), which is a member of Qatar Foundation (QF).
Glasgow Author(s) Enlighten ID:Ansari, Dr Imran
Authors: Usman, M., Asghar, M. R., Ansari, I. S., Granelli, F., and Qaraqe, K. A.
College/School:College of Science and Engineering > School of Engineering
Journal Name:IEEE Access
ISSN (Online):2169-3536
Copyright Holders:Copyright © 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission
First Published:First published in IEEE Access 6:22240-22248
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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