Deployment of IoV for Smart Cities: Applications, Architecture, and Challenges

被引:106
|
作者
Ang, Li-Minn [1 ]
Seng, Kah Phooi [2 ]
Ijemaru, Gerald K. [3 ]
Zungeru, Adamu Murtala [4 ]
机构
[1] Charles Sturt Univ, Sch Comp & Math, Wagga Wagga, NSW 2678, Australia
[2] Univ New South Wales, Sch Engn & Informat Technol, Canberra, ACT 2612, Australia
[3] Fed Univ Oye Ekiti, Dept Elect & Elect Engn, Oye 370001, Nigeria
[4] Botswana Int Univ Sci & Technol, Dept Elect Comp & Telecommun Engn, Palapye 10071, Botswana
关键词
Internet of Vehicles; IoV; layer architecture; smart city; applications; big data; V2I COMMUNICATION; DATA ANALYTICS; INTERNET; VEHICLES; NETWORKS; SYSTEMS; FUSION; SAFETY; ALLOCATION; MANAGEMENT;
D O I
10.1109/ACCESS.2018.2887076
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Internet of Vehicles (IoV) is a convergence of the mobile Internet and the Internet of Things (IoT), where vehicles function as smart moving intelligent nodes or objects within the sensing network. This paper gives two contributions to the state-of-the-art for IoV technology research. First, we present a comprehensive review of the current and emerging IoV paradigms and communication models with an emphasis on deployment in smart cities. Currently, surveys from many authors have focused concentration on the IoV as only serving applications for intelligent transportation like driver safety, traffic efficiency, and infotainment. This paper presents a more inclusive review of the IoV for also serving the needs of smart cities for large-scale data sensing, collection, information processing, and storage. The second component of the paper presents a new universal architecture for the IoV which can be used for different communication models in smart cities to address the above challenges. It consists of seven layers: vehicle identification layer, object layer, inter-intra devices layer, communication layer, servers and cloud services layer, big data and multimedia computation layer, and application layer. The final part of this paper discusses various challenges and gives some experimental results and insights for future research direction such as the effects of a large and growing number of vehicles and the packet delivery success rate in the dynamic network structure in a smart city scenario.
引用
收藏
页码:6473 / 6492
页数:20
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