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A Real-Time Information Perceived Vehicle Opportunity Route: RIPVO

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Advanced Technologies in Ad Hoc and Sensor Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 295))

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Abstract

Considering that VANET may reflect the characters of opportunity network, a routing scenario with real-time information perceiving is proposed in this paper . First, a node executes limited and directed data flooding and then carries out feedback with modified greedy algorithm using hot area. In this strategy, nodes dynamically adjust parameters by self-learning properly. The experiment result under ONE simulator shows its promotion comparing to classic Epidemic, etc.

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Author information

Authors and Affiliations

  1. Information Science and Engineering, Shandong Normal University, Jinan, 250014, China

    Kelei Li, Xinhua Wang, Mianmian Lv & Zhen Wang

  2. Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology, Jinan, 250014, China

    Kelei Li, Xinhua Wang, Mianmian Lv & Zhen Wang

Authors
  1. Kelei Li
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  2. Xinhua Wang
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  3. Mianmian Lv
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  4. Zhen Wang
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Corresponding author

Correspondence to Kelei Li .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Xue Wang

  2. Institute of Computing Technology, CAS, Beijing, China

    Li Cui

  3. Ocean University of China, Qingdao, China

    Zhongwen Guo

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© 2014 Springer-Verlag Berlin Heidelberg

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Li, K., Wang, X., Lv, M., Wang, Z. (2014). A Real-Time Information Perceived Vehicle Opportunity Route: RIPVO. In: Wang, X., Cui, L., Guo, Z. (eds) Advanced Technologies in Ad Hoc and Sensor Networks. Lecture Notes in Electrical Engineering, vol 295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54174-2_4

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  • DOI: https://doi.org/10.1007/978-3-642-54174-2_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54173-5

  • Online ISBN: 978-3-642-54174-2

  • eBook Packages: EngineeringEngineering (R0)

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