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.

Technologies and Solutions for Location-Based Services in Smart Cities: Past, Present, and Future / Usman, M.; Asghar, M. R.; Ansari, I. S.; Granelli, F.; Qaraqe, K. A.. - In: IEEE ACCESS. - ISSN 2169-3536. - 2018, 6:(2018), pp. 22240-22248. [10.1109/ACCESS.2018.2826041]

Technologies and Solutions for Location-Based Services in Smart Cities: Past, Present, and Future

Usman M.;Asghar M. R.;Granelli F.;
2018-01-01

Abstract

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.
2018
Usman, M.; Asghar, M. R.; Ansari, I. S.; Granelli, F.; Qaraqe, K. A.
Technologies and Solutions for Location-Based Services in Smart Cities: Past, Present, and Future / Usman, M.; Asghar, M. R.; Ansari, I. S.; Granelli, F.; Qaraqe, K. A.. - In: IEEE ACCESS. - ISSN 2169-3536. - 2018, 6:(2018), pp. 22240-22248. [10.1109/ACCESS.2018.2826041]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/214885
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