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Catch-up: a data aggregation scheme for vanets

Published:15 September 2008Publication History

ABSTRACT

In-network data aggregation is a useful technique to reduce redundant data and improve communication efficiency. One challenge in data aggregation is how reports can be routed to the same node so that the reports can be merged. Most of existing approaches rely on maintaining a routing structure to achieve this purpose. However, these approaches are not applicable to the mobile environment of Vehicular Ad hoc Networks (VANETs). In this paper, we design a cooperative model to facilitate the aggregation of adjacent traffic reports. The basic idea behind this work is that we can adaptively change the forwarding delay of individual reports in a manner that a report can have a better chance to meet other reports. The decision is made distributedly by each vehicle based on local observations. Actually, our scheme is also a tradeoff between communication overhead and propagation delay. Simulation results based on realistic map data and traffic models demonstrate that our scheme can effectively reduce communication overhead with acceptable delay.

References

  1. Dedicated short range communications project. http://www.leearmstrong.com/DSRC/DSRCHomeset.htm.Google ScholarGoogle Scholar
  2. Groovenet project. http://www.seas.upenn.edu/ rahulm/Research/GrooveNet/.Google ScholarGoogle Scholar
  3. The network simulator - ns-2. http://www.isi.edu/nsnam/ns/.Google ScholarGoogle Scholar
  4. A. Boulis, S. Ganeriwal, and M. B. Srivastava. Aggregation in sensor networks: an energy-accuracy trade-off. Ad Hoc Networks, 1(2-3):317--331, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  5. J. Considine, F. Li, G. Kollios, and J. Byers. Approximate aggregation techniques for sensor databases. In Proceedings of IEEE ICDE, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. K. Fan, S. Liu, and P. Sinha. On the potential of strucuture-free data aggregation in sensor networks. In Proceedings of IEEE Infocom, 2006.Google ScholarGoogle Scholar
  7. K. Fan, S. Liu, and P. Sinha. Scalable data aggregation for dynamic events in sensor networks. In Proceedings of ACM SenSys, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. C. Intanagonwiwat, D. Estrin, R. Govindan, and J. Heidemann. Impact of network density on data aggregation in wireless sensor networks. In Proceedings of 22nd International Conference on Distributed Computing Systems, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. C. Intanagonwiwat, R. Govindan, and D. Estrin. Directed si usion: a scalable and robust communication paradigm for sensor networks. In Proceedings of ACM MobiCom'00, pages 56--67, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. B. Krishnamachari, D. Estrin, and S. B. Wicker. The impact of data aggregation in wireless sensor networks. In Proceedings of the 22nd International Conference on Distributed Computing Systems, pages 575--578, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. C. Lochert, B. Scheuermann, and M. Mauve. Probabilistic aggregation for data dissemination in vanets. In Proceedings of ACM VANET'07 Workshop, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. S. Madden, M. J. Franklin, J. M. Hellerstein, and W. Hong. Tag: a tiny aggregation service for ad-hoc sensor networks. In Proceedings of the 5th symposium on Operating systems design and implementation (OSDI'02), 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. S. Madden, R. Szewczyk, M. Franklin, and D. Culler. Supporting aggregate queries over ad-hoc wireless sensor networks. In Proceedings of the Fourth IEEE Workshop on Mobile Computing Systems and Applications, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. R. Mangharam, D. S. Weller, D. D. Stancil, R. Rajkumar, and J. S. Parikh. Groovesim: A topography-accurate simulator for geographic routing in vehicular networks. In Proceedings of ACM VANET'05 Workshop, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. T. Nadeem, S. Dashtinezhad, C. Liao, and L. Iftode. Trafficview: Traffic data dissemination using car-to-car communication. ACM SIGMOBILE Mobile Computing and Communications Review, 8(3):6--19, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. S. Nath, P. B. Gibbons, S. Seshan, and Z. R. Anderson. Synopsis di usion for robust aggregation in sensor networks. In Proceedings of ACM SenSys, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. M. Torrent-Moreno, D. Jiang, and H. Hartenstein. Broadcast reception rates and e ects of priority access in 802.11-based vehicular ad-hoc networks. In Proceedings of ACM VANET'04 Workshop, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. M. Torrent-Moreno, P. Santi, and H. Hartenstein. Fair sharing of bandwidth in vanets. In Proceedings of ACM VANET'05 Workshop, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. L. Wischhof, A. Ebner, and H. Rohling. Information dissemination in self-organizing intervehicle networks. IEEE Transactions on Intelligent Transportation Systems, 6(1):90--101, March 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. L. Wischhof, A. Ebner, H. Rohling, M. Lott, and R. Halfmann. Sotis lc a self-organizing traffic information system. In Proceedings of the 57th IEEE Vehicular Technology Conference (VTC'03-Spring), pages 2442--2446, April 2003.Google ScholarGoogle Scholar
  21. H. Wu, R. Fujimoto, R. Guensler, and M. Hunter. Mddv: A mobility-centric data dissemination algorithm for vehicular networks. In Proceedings of ACM VANET'04 Workshop, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. J. Zhao and G. Cao. Vadd: Vehicle-assisted data delivery in vehicular ad hoc networks. In Proceedings of IEEE Infocom'06, April 2006.Google ScholarGoogle ScholarCross RefCross Ref

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          • Published in

            cover image ACM Conferences
            VANET '08: Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking
            September 2008
            96 pages
            ISBN:9781605581910
            DOI:10.1145/1410043

            Copyright © 2008 ACM

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            New York, NY, United States

            Publication History

            • Published: 15 September 2008

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            Overall Acceptance Rate26of64submissions,41%

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