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Traffic Congestion Estimation in VANETs and Its Application to Information Dissemination

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Distributed Computing and Networking (ICDCN 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6522))

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Abstract

Traffic congestion estimation in vehicular ad hoc networks can have many interesting applications. In this paper, we propose two measures of traffic congestion around a vehicle suited for different applications. A scheme for a vehicle to estimate congestion around it is proposed and evaluated through simulations. We also show an application of the estimated congestion for information dissemination to achieve high coverage while sending much less number of redundant messages compared to a flooding based scheme.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Indian Institute of Technology Kharagpur, WB, 721302, India

    Rayman Preet Singh & Arobinda Gupta

Authors
  1. Rayman Preet Singh
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  2. Arobinda Gupta
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Editor information

Editors and Affiliations

  1. Microsoft Research Silicon Valley, 1065 La Avenida – bldg. 6, 94043, Mountain View, CA, USA

    Marcos K. Aguilera

  2. School of Computing, National University of Singapore, COM2-04-25, 15 Computing Drive, 117418, Republic of Singapore

    Haifeng Yu

  3. 458 Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, MC-228, 1308 West Main Street, 61801, Urbana, IL, USA

    Nitin H. Vaidya

  4. Alcatel-Lucent Technologies, Manyata Technology Park, Nagawara, 560045, Bangalore, India

    Vikram Srinivasan

  5. ECE Department, Duke University, 130 Hudson Hall, Box 90291, 27708, Durham, NC, USA

    Romit Roy Choudhury

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© 2011 Springer-Verlag Berlin Heidelberg

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Singh, R.P., Gupta, A. (2011). Traffic Congestion Estimation in VANETs and Its Application to Information Dissemination. In: Aguilera, M.K., Yu, H., Vaidya, N.H., Srinivasan, V., Choudhury, R.R. (eds) Distributed Computing and Networking. ICDCN 2011. Lecture Notes in Computer Science, vol 6522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17679-1_33

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  • DOI: https://doi.org/10.1007/978-3-642-17679-1_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17678-4

  • Online ISBN: 978-3-642-17679-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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