Skip to main content

On the Urban Connectivity of Vehicular Sensor Networks

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5067))

Abstract

Aiming at a realistic mobile connectivity model for vehicular sensor networks in urban environments, we propose the combination of large-scale traffic simulation and computational tools to characterize fundamental graph-theoretic parameters. To illustrate the proposed approach, we use the DIVERT simulation framework to illuminate the temporal evolution of the average node degree in this class of networks and provide an algorithm for computing the transitive connectivity profile that ultimately determines the flow of information in a vehicular sensor network.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Grossglauser, M., Tse, D.: Mobility increases the capacity of ad hoc wireless networks. IEEE/ACM Transactions on Networking (TON) 10(4), 477–486 (2002)

    Article  Google Scholar 

  2. Capkun, S., Hubaux, J., Buttyán, L.: Mobility helps security in ad hoc networks. In: Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing, pp. 46–56 (2003)

    Google Scholar 

  3. Intanagonwiwat, C., Govindan, R., Estrin, D.: Directed diffusion: A scalable and robust communication paradigm for sensor networks. In: Proceedings of the ACM/IEEE International Conference on Mobile Computing and Networking, pp. 56–67 (2000)

    Google Scholar 

  4. Kurkowski, S., Camp, T., Colagrosso, M.: MANET simulation studies: the incredibles. Mobile Computing and Communications Review 9(4), 50–61 (2005)

    Article  Google Scholar 

  5. Bettstetter, C.: Smooth is better than sharp: a random mobility model for simulation of wireless networks. In: Meo, M., Dahlberg, T.A., Donatiello, L. (eds.) MSWiM, pp. 19–27. ACM, New York (2001)

    Chapter  Google Scholar 

  6. Hong, D., Rappaport, S.S.: Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and non-prioritized handoff procedures. In: ICC, pp. 1146–1150 (1986)

    Google Scholar 

  7. Zonoozi, M.M., Dassanayake, P.: User mobility modeling and characterization of mobility patterns. IEEE Journal on Selected Areas in Communications 15(7), 1239–1252 (1997)

    Article  Google Scholar 

  8. Wilhelm, W.E., Schmidt, J.W.: Review of car following theory. Transportation Enginnering Journal 99, 923–933 (1973)

    Google Scholar 

  9. Hoogendoorn, S., Bovy, P.: State-of-the-art of vehicular traffic flow modelling. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 215(4), 283–303 (2001)

    Article  Google Scholar 

  10. Hoogendoorn, S., Bovy, P.: Gas-Kinetic Model for Multilane Heterogeneous Traffic Flow. Transportation Research Record 1678(-1), 150–159 (1999)

    Article  Google Scholar 

  11. Burghout, W., Koutsopoulos, H., Andréasson, I.: Hybrid Mesoscopic-Microscopic Traffic Simulation. Transportation Research Record 1934(-1), 218–255 (2005)

    Article  Google Scholar 

  12. Bar-Noy, A., Kessler, I., Sidi, M.: Mobile users: To update or not to update? Wireless Networks 1(2), 175–185 (1995)

    Article  Google Scholar 

  13. Bettstetter, C., Hartmann, C.: Connectivity of Wireless Multihop Networks in a Shadow Fading Environment. Wireless Networks 11(5), 571–579 (2005)

    Article  Google Scholar 

  14. Chiang, C., Wu, H., Liu, W., Gerla, M.: Routing in clustered multihop, mobile wireless networks with fading channel. Proceedings of IEEE SICON 97, 197–211 (1997)

    Google Scholar 

  15. Kotz, D., Newport, C., Gray, R.S., Liu, J., Yuan, Y., Elliott, C.: Experimental evaluation of wireless simulation assumptions. In: MSWiM 2004: Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems, pp. 78–82. ACM, New York (2004)

    Chapter  Google Scholar 

  16. Conceição, H., Damas, L., Ferreira, M., Barros, J.: Large-Scale Simulation of V2V Environments. In: Proceedings of the 23rd Annual ACM Symposium on Applied Computing, SAC 2008, Fortaleza, Ceará, Brazil, March 2008. ACM Press, New York (2008)

    Google Scholar 

  17. Yamashita, T., Izumi, K., Kurumatani, K., Nakashima, H.: Smooth traffic flow with a cooperative car navigation system. In: AAMAS 2005: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, pp. 478–485. ACM, New York (2005)

    Chapter  Google Scholar 

  18. Piorkowski, M., Raya, M., Lugo, A., Papadimitratos, P., Grossglauser, M., Hubaux, J.P.: TraNS: Realistic Joint Traffic and Network Simulator for VANETs. ACM SIGMOBILE Mobile Computing and Communications Review

    Google Scholar 

  19. Wang, S., Chou, C., Huang, C., Hwang, C., Yang, Z., Chiou, C., Lin, C.: The design and implementation of the NCTUns 1.0 network simulator. Computer Networks 42(2), 175–197 (2003)

    Article  MATH  Google Scholar 

  20. Mangharam, R., Weller, D., Rajkumar, R., Mudalige, P., Bai, F.: GrooveNet: A Hybrid Simulator for Vehicle-to-Vehicle Networks. In: Second International Workshop on Vehicle-to-Vehicle Communications (IEEE V2VCOM), San Jose, USA (July 2006)

    Google Scholar 

  21. Booth, L., Bruck, J., Franceschetti, M., Meester, R.: Covering Algorithms, Continuum Percolation and the Geometry of Wireless Networks. The Annals of Applied Probability 13(2), 722–741 (2003)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Sotiris E. Nikoletseas Bogdan S. Chlebus David B. Johnson Bhaskar Krishnamachari

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Conceição, H., Ferreira, M., Barros, J. (2008). On the Urban Connectivity of Vehicular Sensor Networks. In: Nikoletseas, S.E., Chlebus, B.S., Johnson, D.B., Krishnamachari, B. (eds) Distributed Computing in Sensor Systems. DCOSS 2008. Lecture Notes in Computer Science, vol 5067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69170-9_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-69170-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69169-3

  • Online ISBN: 978-3-540-69170-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics