TY - JOUR
T1 - Technologies and Solutions for Location-Based Services in Smart Cities
T2 - Past, Present, and Future
AU - Usman, Muhammad
AU - Asghar, Muhammad Rizwan
AU - Ansari, Imran Shafique
AU - Granelli, Fabrizio
AU - Qaraqe, Khalid A.
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2018/4/24
Y1 - 2018/4/24
N2 - 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-to-everything 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.
AB - 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-to-everything 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.
KW - Smart cities
KW - localization
KW - location-based services
KW - proximity
UR - http://www.scopus.com/inward/record.url?scp=85045990979&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2018.2826041
DO - 10.1109/ACCESS.2018.2826041
M3 - Article
AN - SCOPUS:85045990979
SN - 2169-3536
VL - 6
SP - 22240
EP - 22248
JO - IEEE Access
JF - IEEE Access
ER -