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Vehicular Ad-hoc Networks(VANETs): Capabilities, Challenges in Information Gathering and Data Fusion

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Autonomous and Intelligent Systems (AIS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7326))

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Abstract

Vehicular Ad-hoc Network (VANET) has become an active area of research due to its major role to improve vehicle and road safety, traffic efficiency, and convenience as well as comfort to both drivers and passengers. This paper thus addresses some of the attributes and challenging issues related to Vehicular Ad-hoc Networks (VANETs). A lot of VANET research work have focused on specific areas including routing, broadcasting, Quality of Service (QoS), and security. In this paper, a detailed overview of the current information gathering and data fusion capabilities and challenges in the context of VANET is presented. In addition, an overall VANET framework, an illustrative VANET scenario are provided in order to enhance safety, flow, and efficiency of the transportation system.

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References

  1. Xu, Q., Mak, T., Ko, J., Sengupta, R.: Vehicle-to-vehicle safety messaging in DSRC. In: Proc. of ACM Workshop on Vehicular Ad Hoc Networks, VANETs (2004)

    Google Scholar 

  2. Fazio, M., Palazzi, C.E., Das, S., Gerla, M.: Facilitating real-time applications in VANETs through fast address auto-configuration. In: Proc. of the IEEE CCNC Int. Workshop on Networking Issues in Multimedia Entertainment (2007)

    Google Scholar 

  3. Fuler, H., Fuler, H., Hartenstein, H., Mauve, M., Käsemann, M., Vollmer, D., Mauve, M., Asemann, M.K.: Location-Based Routing for Vehicular Ad-Hoc Networks (2002)

    Google Scholar 

  4. Boukerche, A., Oliveira, H.A.B.F., Nakamura, E.F., Loureiro, A.A.F.: Vehicular Ad Hoc networks: A new challenge for localization based systems. Comput. Commun. (2008)

    Google Scholar 

  5. Carroll, J.M.: Five reasons for scenario-based design. Interacting with Computers 13(1), 43–60 (2000)

    Article  Google Scholar 

  6. Dssouli, R., Some, S., Vaucher, J., Salah, A.: A service creation environment based on scenarios. Information and Software Technology 41(11), 697–713 (1999)

    Article  Google Scholar 

  7. Kim, J., Kim, M., Park, S.: Goal and scenario based domain requirements analysis environment. Journal of Systems and Software 79(7), 926–938 (2006)

    Article  Google Scholar 

  8. Mullen, T., Hall, D., Pennsylva, T.: A market-based approach to sensor management. Information Fusion 4(1) (2009)

    Google Scholar 

  9. Brynielsson, J.: An Information Fusion Game Component. Information Fusion 1(2) (2006)

    Google Scholar 

  10. Wen, D., Yan, G., Zheng, N.-N., Shen, L.-C., Li, L.: Towards cognitive vehicles. IEEE Intelligent Systems (2011)

    Google Scholar 

  11. Khaleghi, B., Khamis, A., Karray, F.O.: Multisensor data fusion: A review of the state-of-the-art. Information Fusion (2011) (in press)

    Google Scholar 

  12. ITS Strategic plan, http://www.its.dot.gov/strategic_plan2010_2014/index.htm

  13. Sambhoos, K., Llinas, J., Little, E.: Graphical methods for real-time fusion and estimation with soft message data. In: Proc. Int. Conf. on Information Fusion, pp. 1–8 (2008)

    Google Scholar 

  14. Pravia, M.A., Babko-Malaya, O., Schneider, M.K., White, J.V., Chong, C.Y.: Lessons learned in the creation of a data set for hard/soft information fusion. In: Proc. Int. Conf. on Information Fusion, pp. 2114–2121 (2009)

    Google Scholar 

  15. Premaratne, K., Murthi, M.N., Zhang, J., Scheutz, M., Bauer, P.H.: A Dempster-Shafer theoretic conditional approach to evidence updating for fusion of hard and soft data. In: Proc. Int. Conf. on Information Fusion, pp. 2122–2129 (2009)

    Google Scholar 

  16. Challa, S., Gulrez, T., Chaczko, Z., Paranesha, T.N.: Opportunistic information fusion: A new paradigm for next generation networked sensing systems. In: Proc. Int. Conf. on Information Fusion, pp. 720–727 (2005)

    Google Scholar 

  17. Memorandum, T.: Distributed Information Fusion and Dynamic (2008)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Golestan, K. et al. (2012). Vehicular Ad-hoc Networks(VANETs): Capabilities, Challenges in Information Gathering and Data Fusion. In: Kamel, M., Karray, F., Hagras, H. (eds) Autonomous and Intelligent Systems. AIS 2012. Lecture Notes in Computer Science(), vol 7326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31368-4_5

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  • DOI: https://doi.org/10.1007/978-3-642-31368-4_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31367-7

  • Online ISBN: 978-3-642-31368-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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