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RDAP: Requested Data Accessibility Protocol for Vehicular Sensor Networks

Part of the Studies in Computational Intelligence book series (SCI, volume 488)

Abstract

Vehicular Sensor Networks (VSNs) are an emerging paradigm in vehicular networks. This new technology uses different kind of sensing devices available in vehicles, to gather information in order to provide safer, efficient and comfort for roads users. One of the VSNs challenges is how to deal with dynamic data collection. To achieve this, an efficient collaboration between sensors and vehicles is required. This paper proposes a new multi-hop data collection and dissemination scheme based on data replication on VSNs in an urban scenario. The aim of our proposal scheme is to achieve a high accessibility to a requested data while maintaining a low level of channel utilization. The simulation results show that this protocol can achieve significant performance benefits.

Keywords

Vehicular Sensor Network Data Collection Data Dissemination Data Replication 

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References

  1. 1.
    Lee, U., Magistretti, E., Zhou, B., Gerla, M., Bellavista, P., Corradi, A.: Efficient Data Harvesting in Mobile Sensor Platforms. In: IEEE PerSeNS 2006 Workshop, Pisa, Italy (March 2006)Google Scholar
  2. 2.
    Salhi, I., Cherif, M.O., Senouci, S.M.: A New Architecture for Data Collection in Vehicular Networks. 978-1-4244-3435-0/09/$25.00 ©2009 IEEE (2009)Google Scholar
  3. 3.
    Ni, S.Y., Tseng, Y.C., Chen, Y.S., Sheu, J.: The Broadcast storm problem in a mobile ad hoc networks. In: Proc. 5thAnnual ACM/IEEE International Conference on Mobile Computing and Networking, Seattle, Washington (August 1999)Google Scholar
  4. 4.
    Kheroua, L., Moussaoui, S., Mansour, L.: An Agent based Rumor Dissemination for Routing in Wireless Sensor Networks. In: ISPS, Algeria (2011)Google Scholar
  5. 5.
    Yang, L., Xu, J., Wu, G., Guo, J.: Road Probing: RSU Assisted Data Collection in Vehicular Networks. IEEE (2009)Google Scholar
  6. 6.
    Hull, B., Bychkovsky, V., Zhang, Y., Chen, K., Goraczko, M., Miu, A., Shih, E., Balakrishnan, H., Madden, S.: CarTel: A Distributed Mobile Sensor Computing System (2006)Google Scholar
  7. 7.
    Lim, K.W., Jung, W.S., Ko, Y.-B.: Multi-Hop Data Dissemination with Replicas in Vehicular Sensor Networks. In: Proceeding Vehicular Technology Conference, VTC Spring 2008, Singapore, May 11-14, pp. 3062–3066. IEEE (2008) ISSN: 1550-2252, ISBN: 978-1-4244-1644-8Google Scholar
  8. 8.
    Seth, A., Darragh, P., Liang, S., Lin, Y., Keshav, S.: An Architecture for Tetherless Communication. In: DTN Workshop (2005)Google Scholar
  9. 9.
    Bononi, L., Di Felice, M.: A Cross Layered MAC and Clustering Scheme for Efficient Broadcast in VANETs. In: IEEE MASS 2007, Pisa, Italy (October 2007)Google Scholar
  10. 10.
    Wang, F., Zeng, D., Yang, L.: Smart cars on smart roads: an IEEE intelligent transportation systems society update. IEEE Pervasive Computing 5(4) (2006)Google Scholar
  11. 11.
    Piran, M., Murthy, G.: A Novel Routing Algorithm for Vehicular Sensor Networks. Internation Journal of Wireless Sensor Networks (WSN), 919–923 (2010)Google Scholar
  12. 12.
    Wang, F., Zeng, D., Yang, L.: Smart cars on smart roads: an IEEE intelligent transportation systems society update. IEEE Pervasive Computing 5(4) (2006)Google Scholar
  13. 13.
    ns-2 (The Network Simulator), http://www.isi.edu/nsnam/ns
  14. 14.
    Krajzewicz, D., Rossel, C.: Simulation of Urban Mobility (SUMO). German Aerospace Centre (2007), http://sumo.sourceforge.net/index.shtml.
  15. 15.
    MOVE (MObility model generator for VEhicular networks): Rapid Generation of Realistic Simulation for VANET (2007), http://lens1.csie.ncku.edu.tw/MOVE/index.htm.

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Computing DepartementUniversity of Sciences and Technology Houari BoumedieneAlgiersAlgeria

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