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Electronic Commerce Research

, Volume 14, Issue 3, pp 389–416 | Cite as

IoT sensing framework with inter-cloud computing capability in vehicular networking

  • Jiafu Wan
  • Caifeng ZouEmail author
  • Keliang Zhou
  • Rongshuang Lu
  • Di Li
Article

Abstract

In order to improve convenience, efficiency, and safety in vehicular networking applications (VNA), we propose a novel business model based on platform production services (PPS), design an inter-cloud architecture, and then apply this emerging scheme to vehicle maintenance services (VMS). Both internet of things (IoT) sensing framework and inter-cloud computing architecture are the crucial factors in implementing PPS business model. In the proposed scheme, implementation concept, system architecture, and scalable applications are introduced. Then we design IoT sensing framework for VNA, including cloud services and computation level scalability, inter-cloud architecture supporting telematics applications, and telematics application scenarios. After dissecting mobile cloud computing forming mechanism, we carry out the semantic modeling analysis for inter-cloud service model, and then design a VMS event processing flow to allow the management and cooperation among diverse components by means of event manager. The performance evaluation exemplified by VMS is implemented by means of probabilistic methods. The results show that convenience and efficiency increase in VNA as compared to existing schemes.

Keywords

Wireless sensor networks Internet of things Vehicular networking Inter-cloud computing Semantic modeling Event processing flow 

Notes

Acknowledgments

The authors would like to thank the National Natural Science Foundation of China (No. 61262013, 61363011), Guangdong Provincial Strategic Emerging Industries Core Technology Breakthrough Project (2012A010702004), the High-level Talent Project for Universities, Guangdong Province, China (No. 431, YueCaiJiao 2011), the Natural Science Foundation of Guangdong Province, China (No. S2011010001155), and the National 863 Project (No. 2011AA04A104, 2012AA040909).

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Jiafu Wan
    • 1
  • Caifeng Zou
    • 2
    Email author
  • Keliang Zhou
    • 3
  • Rongshuang Lu
    • 3
  • Di Li
    • 1
  1. 1.School of Mechanical and Automotive EngineeringSouth China University of TechnologyGuangzhouChina
  2. 2.College of Information EngineeringGuangdong Jidian PolytechnicGuangzhouChina
  3. 3.College of Electrical Engineering and AutomationJiangxi University of Science and TechnologyGanzhouChina

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