標題: Internet of Vehicles : Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects
作者: Kaiwartya, Omprakash
Abdullah, Abdul Hanan
Cao, Yue
Altameem, Ayman
Prasad, Mukesh
Lin, Chin-Teng
Liu, Xiulei
資訊工程學系
電子工程學系及電子研究所
Department of Computer Science
Department of Electronics Engineering and Institute of Electronics
關鍵字: Vehicular adhoc networks;Internet of Vehicles;cloud computing;heterogeneous networks
公開日期: 1-一月-2016
摘要: Internet of Things is smartly changing various existing research areas into new themes, including smart health, smart home, smart industry, and smart transport. Relying on the basis of smart transport, Internet of Vehicles (IoV) is evolving as a new theme of research and development from vehicular ad hoc networks (VANETs). This paper presents a comprehensive framework of IoV with emphasis on layered architecture, protocol stack, network model, challenges, and future aspects. Specifically, following the background on the evolution of VANETs and motivation on IoV an overview of IoV is presented as the heterogeneous vehicular networks. The IoV includes five types of vehicular communications, namely, vehicle-to-vehicle, vehicle-to-roadside, vehicle-to-infrastructure of cellular networks, vehicle-to-personal devices, and vehicle-to-sensors. A five layered architecture of IoV is proposed considering functionalities and representations of each layer. A protocol stack for the layered architecture is structured considering management, operational, and security planes. A network model of IoV is proposed based on the three network elements, including cloud, connection, and client. The benefits of the design and development of IoV are highlighted by performing a qualitative comparison between IoV and VANETs. Finally, the challenges ahead for realizing IoV are discussed and future aspects of IoV are envisioned.
URI: http://dx.doi.org/10.1109/ACCESS.2016.2603219
http://hdl.handle.net/11536/145531
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2016.2603219
期刊: IEEE ACCESS
Volume: 4
起始頁: 5356
結束頁: 5373
顯示於類別:期刊論文


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