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Liu, B; Jia, D; Wang, J; Lu, K; Wu, L (2017)
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Languages: English
Types: Article

Classified by OpenAIRE into

In vehicular ad hoc networks (VANETs), efficient message dissemination is critical to road safety and traffic efficiency. Since many VANET-based schemes suffer from high transmission delay and data redundancy, the integrated VANET–cellular heterogeneous network has been proposed recently and attracted significant attention. However, most existing studies focus on selecting suitable gateways to deliver safety message from the source vehicle to a remote server, whereas rapid safety message dissemination from the remote server to a targeted area has not been well studied. In this paper, we propose a framework for rapid message dissemination that combines the advantages of diverse communication and cloud computing technologies. Specifically, we propose a novel Cloud-assisted Message Downlink dissemination Scheme (CMDS), with which the safety messages in the cloud server are first delivered to the suitable mobile gateways on relevant roads with the help of cloud computing (where gateways are buses with both cellular and VANET interfaces), and then being disseminated among neighboring vehicles via vehicle-to-vehicle (V2V) communication. To evaluate the proposed scheme, we mathematically analyze its performance and conduct extensive simulation experiments. Numerical results confirm the efficiency of CMDS in various urban scenarios.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • Bingyi Liu is currently pursuing the Ph.D. degree under a joint program with the Department of Computer Science, Wuhan University, Wuhan, China, and the Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong. He received the B.Sc. degree in computer science from Wuhan Institute of Technology, Wuhan, China, in 2011.
    • His research interests include wireless networks, vehicular ad-hoc network, and internet of things. Dongyao Jia received the B.E. degree in automation from Harbin Engineering University, Harbin, China, in 1998, the M.E. degree in automation from Guangdong University of Technology, Guangzhou, China, in 2003, and Ph.D. degree in computer science from City University of Hong Kong in 2014. He is currently a Research Fellow in Institute for Transport Studies (ITS), University of Leeds, UK. He was a visiting scholar in University of Waterloo in 2014. He worked as a senior engineer in the telecom field in China from 2003 to 2011. He also took part in the establishment of several national standards for home networks. His current research interests include vehicular cyber-physical systems, traffic flow modeling, and internet of things.
  • No related research data.
  • Discovered through pilot similarity algorithms. Send us your feedback.

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