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Message Relaying with Data Aggregation for Drive-Thru Internet Services in Vehicular Networks

  • Chih-Lin Hu
  • Chung-Chun Wang
  • Jiun-Yu Tu
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 20)

Abstract

Since the drive-thru Internet service becomes one of promising vehicular applications, it can be easily affected by the problem of system overload when unpredictable traffic of request and response workloads exceeds the service capacity that a roadside unit can stand for. To mitigate this situation, this paper proposes an efficient data aggregation mechanism which is able to perform request fusion and response diffusion among vehicles to reduce message traffic in the network. Functionally, a roadside unit can delegate relay vehicles to merge requests from neighboring vehicles into a compound request, and later reply with a batch of response messages. Relay vehicles then deliver responses to requesting vehicles in proximity in a broadcasting manner. By simulation results, the effort of this proposed data aggregation mechanism can significantly reduce message traffic. This mechanism can defer the critical time of system overload to some extent and meanwhile moderate the service starvation situation under heavy request workload.

Keywords

message relay data aggregation drive-thru service vehicular network 

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References

  1. 1.
    Ahn, J., Wang, Y., Yu, B., Bai, F., Krishnamachari, B.: Risa: Distributed road information sharing architecture. In: Proceedings of IEEE INFOCOM 2012, pp. 1494–1502 (March 2012)Google Scholar
  2. 2.
    Bychkovsky, V., Hull, B., Miu, A., Balakrishnan, H., Madden, S.: A measurement study of vehicular internet access using in situ wi-fi networks. In: Proceedings of ACM MOBICOM 2006, pp. 50–61 (September 2006)Google Scholar
  3. 3.
    Fiore, M., Harri, J., Filali, F., Bonnet, C.: Vehicular mobility simulation for vanets. In: Proceedings of the 40th IEEE Annual Simulation Symposium (ANSS 2007) (March 2007)Google Scholar
  4. 4.
    Kolios, P., Friderikos, V., Papadaki, K.: Load balancing via store-carry and forward relaying in cellular networks. In: Proceedings of IEEE GLOBECOM 2010 (December 2010)Google Scholar
  5. 5.
    Ott, J., Kutscher, D.: Drive-thru internet: IEEE802.11b for “automobile” users. In: Proceedings of IEEE INFOCOM 2004, pp. 362–373 (March 2004)Google Scholar
  6. 6.
    Rajagopalan, R., Varshney, P.K.: Data-aggregation techniques in sensor networks: a survey. IEEE Communications Surveys & Tutorials 8(4), 48–63 (2006)CrossRefGoogle Scholar
  7. 7.
    Ros, F.J., Ruiz, P.M., Stojmenovic, I.: Acknowledgment-based broadcast protocol for reliable and efficient data dissemination in vehicular ad hoc networks. IEEE Transactions on Mobile Computing 11(1), 33–46 (2012)CrossRefGoogle Scholar
  8. 8.
    Su, H., Zhang, X.: Network-coding-based relay mac protocols for drive-thru internet services in vehicular networks. In: Proceedings of IEEE GLOBECOM 2010 (December 2010)Google Scholar
  9. 9.
    Yang, S., Yeo, C.K., Lee, B.S.: Predictive scheduling in drive-thru networks with flow-level dynamics and deadlines. In: Proceedings of IEEE ICC 2011 (June 2011)Google Scholar
  10. 10.
    Yanmaz, E., Tonguz, O.K.: Dynamic load balancing and sharing performance of integrated wireless networks. IEEE Journal on Selected Areas in Communications 22(5), 862–872 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Communication EngineeringNational Central UniversityTaoyuanTaiwan, R.O.C

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