TY - JOUR
T1 - Deployment of IoV for smart cities
T2 - Applications, architecture, and challenges
AU - Ang, Li Minn
AU - Seng, Kah Phooi
AU - Ijemaru, Gerald K.
AU - Zungeru, Adamu Murtala
N1 - Includes bibliographical references.
PY - 2019/1/16
Y1 - 2019/1/16
N2 - 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.
AB - 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.
KW - Applications
KW - Big data
KW - Internet of Vehicles
KW - IoV
KW - Layer architecture
KW - Smart city
UR - http://www.scopus.com/inward/record.url?scp=85058886680&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058886680&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2018.2887076
DO - 10.1109/ACCESS.2018.2887076
M3 - Article
AN - SCOPUS:85058886680
SN - 2169-3536
VL - 7
SP - 6473
EP - 6492
JO - IEEE Access
JF - IEEE Access
M1 - 8579129
ER -