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Machine Intelligence Research
Erschienen in: International Journal of Automation and Computing 1/2016

01.02.2016 | Review

Advances in vehicular ad-hoc networks (VANETs): Challenges and road-map for future development

verfasst von: Elias C. Eze, Si-Jing Zhang, En-Jie Liu, Joy C. Eze

Erschienen in: Machine Intelligence Research | Ausgabe 1/2016

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Abstract

Recent advances in wireless communication technologies and auto-mobile industry have triggered a significant research interest in the field of vehicular ad-hoc networks (VANETs) over the past few years. A vehicular network consists of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications supported by wireless access technologies such as IEEE 802.11p. This innovation in wireless communication has been envisaged to improve road safety and motor traffic efficiency in near future through the development of intelligent transportation system (ITS). Hence, governments, auto-mobile industries and academia are heavily partnering through several ongoing research projects to establish standards for VANETs. The typical set of VANET application areas, such as vehicle collision warning and traffic information dissemination have made VANET an interesting field of mobile wireless communication. This paper provides an overview on current research state, challenges, potentials of VANETs as well as the ways forward to achieving the long awaited ITS.
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Metadaten
Titel
Advances in vehicular ad-hoc networks (VANETs): Challenges and road-map for future development
verfasst von
Elias C. Eze
Si-Jing Zhang
En-Jie Liu
Joy C. Eze
Publikationsdatum
01.02.2016
Verlag
Institute of Automation, Chinese Academy of Sciences
Erschienen in
Machine Intelligence Research / Ausgabe 1/2016
Print ISSN: 2731-538X
Elektronische ISSN: 2731-5398
DOI
https://doi.org/10.1007/s11633-015-0913-y

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