Skip to main content

Location-Based Hierarchical Data Aggregation in Vehicular Ad Hoc Networks

  • Conference paper
Kommunikation in Verteilten Systemen (KiVS)

Part of the book series: Informatik aktuell ((INFORMAT))

Abstract

Existing road traffic information systems rely on fixed infrastructures to manage traffic data. The deployment and maintenance cost of such infrastructures, however, is very high. With on-board sensors and wireless short range communication, infrastructure-less traffic data management based on inter-vehicle communication will be viable in the near future, with data aggregation being a key issue for data management. In this paper, we review some of the existing data aggregation strategies in wireless ad hoc networks and discuss new data aggregation challenges. Finally, we present a novel location-based hierarchical data aggregation approach, which is scalable and robust with regard to high vehicle mobility.

Jing Tian is supported by the European project CarTALK 2000, contract number IST-2000-28185. http://www.cartalk2000.net

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.00
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. L. Briesemeister and G. Hommel. Role-based multicast in highly mobile but sparsely connected ad hoc networks. In Proc. of the ACM MobiHOC'00.

    Google Scholar 

  2. F. Duerr and K. Rothermel. On a location model for fine-grained geocast. In Proc. of the Fifth Intl. Conf. on Ubiquitous Computing, 2003.

    Google Scholar 

  3. W. Franz, R. Eberhardt, and T. Luckenbach. Fleetnet-internet on the road. In Proc. of the 8th World Congress on Intelligent Transport Systems, 2001.

    Google Scholar 

  4. I. Gupta, R.V Renesse, and K.P. Birman. Scalable fault-tolerant aggregation in large process groups. In Proc. of The Intl. Conf. on Dependable Systems and Networks (DSN 01), 2001.

    Google Scholar 

  5. W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan. Energy efficient communication protocol for wireless micro-sensor networks. In Proc. IEEE Hawaii Int. Conf. on System Sciences, 2000.

    Google Scholar 

  6. C. Intanagonwiwat, D. Estrin, R. Govindan, and J. Heidemann. Impact of network density on data aggregation in wireless sensor networks. In Proc. of the 22nd Intl. Conf. on Distributed Computing Systems (ICDCS'02), 2002.

    Google Scholar 

  7. Brad Karp and H. T. Kung. Gpsr: greedy perimeter stateless routing for wireless networks. In Proc. of the ACM MobiCom'00, pages 243–254, 2000.

    Google Scholar 

  8. S. Lindsey, C. Raghavendra, and M. Sivalingam. Data gathering algorithms in sensor networks using energy metrics. IEEE Transactions on Parallel and Distrobuted Systems, 13(9):924–935, 2002.

    Article  Google Scholar 

  9. S. Madden, M. J. Franklin, J. M. Hellerstein, and W. Hong. Tag: a tiny aggregation service for ad-hoc sensor networks. In Proc. of the Fifth Annual Symposium on Operating Systems Design and Implementation (OSDI), 2002.

    Google Scholar 

  10. Tamer Nadeem, Sasan Dashtinezhad, Chunyuan Liao, and Liviu Iftode. Trafficview: A scalable traffic monitoring system. In Proc. of the 5thIEEE Intl. Conf. on Mobile Data Management (MDM), 2004.

    Google Scholar 

  11. D. Reichardt, M. Miglietta, L. Moretti, P. Morsink, and W. Schulz. Cartalk 2000-safe and comfortable driving based upon inter-vehicle-communication. In Proc. of IEEE Intelligent Vehicle Symposium, 2002.

    Google Scholar 

  12. M. H. Ruhe, C. Dalaff, and R. D. Kuehne. Traffic monitoring and traffic flow measurement by remote sensing systems. In Proc. of the IEEE 6th Intl. Conf. on Intelligent Transportation Systems (ITSC), 2003.

    Google Scholar 

  13. S. Shekhar and D. Lui. Genesis and advanced traveler information systems. In Mobile Computing, pages 699–720, 1996.

    Google Scholar 

  14. J. Tian, J. Haehner, C. Becker, I. Stepanov, and K. Rothermel. Graph-based mobility model for mobile ad hoc network simulation. In Proc. of the 35th Annual Simulation Symposium, 2002.

    Google Scholar 

  15. L. Wischhof, A. Ebner, H. Rohling, M. Lott, and R. Halfmann. Sotis-a self-organizing traffic information system. In Proc. of the 57th IEEE Vehicular Technology Conf. (VTC), 2003.

    Google Scholar 

  16. Y. Zhao, R. Govindan, and D. Estrin. Computing aggregates for monitoring wireless sensor networks. In Proc. of the First IEEE Intl. Workshop on Sensor Network Protocols and Applications (SNPA'03), 2003.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tian, J., Marrón, P.J., Rothermel, K. (2005). Location-Based Hierarchical Data Aggregation in Vehicular Ad Hoc Networks. In: Müller, P., Gotzhein, R., Schmitt, J.B. (eds) Kommunikation in Verteilten Systemen (KiVS). Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27301-8_14

Download citation

Publish with us

Policies and ethics