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

被引:30
|
作者
Usman, Muhammad [1 ]
Asghar, Muhamma Drizwan [2 ]
Ansari, Imran Shafique [3 ,4 ]
Granelli, Fabrizio [1 ]
Qaraqe, Khalid A. [5 ]
机构
[1] Univ Trento, Dept Informat Engn & Comp Sci, I-38123 Trento, Italy
[2] Univ Auckland, Dept Comp Sci, Auckland 1142, New Zealand
[3] Global Coll Engn & Technol, Elect & Telecommun Engn Dept, Muscat 112, Oman
[4] Univ West England, Bristol, Avon, England
[5] Texas A&M Univ Doha, Dept Elect & Comp Engn, Doha 23874, Qatar
来源
IEEE ACCESS | 2018年 / 6卷
关键词
Smart cities; location-based services; localization; proximity;
D O I
10.1109/ACCESS.2018.2826041
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:22240 / 22248
页数:9
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