Data Aggregation Based on Fuzzy Logic for VANETs

  • P. Caballero-Gil
  • J. Molina-Gil
  • C. Caballero-Gil
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6694)


Data aggregation is mainly used to combine similar or equal information sent by different nodes of a network before forwarding it with the aim of reducing the number of messages. This is particularly important in Vehicular Ad-hoc NETworks (VANETs) where vehicles broadcast information about the road traffic situation, what can lead to overload the network. In this paper we propose a system for data aggregation based on the primary computational intelligence approach of fuzzy logic. The scheme is automatically launched in case of incident, without any fixed structure on the road, but through the spontaneous formation of aggregation groups. Fuzzy logic is mainly applied in decision-making regarding aggregation and diffusion of aggregated information, while data aggregation is based on digital signature combination. The proposed protocol also uses probabilistic verification of aggregated data in order to reduce computation overhead and delay.


Data aggregation fuzzy logic vehicular ad-hoc network 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Lee, K.M., Hwang, K.-S., Lee, J.-H., Kim, H.-J.: A Fuzzy Trust Model Using Multiple Evaluation Criteria. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds.) FSKD 2006. LNCS (LNAI), vol. 4223, pp. 961–969. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  2. 2.
    Castelfranchi, C., Falcone, R.: Trust is Much More Than Subjective Probability: Mental Components and Sources of Trust. In: Proc. Hawaii International Conference on System Sciences (2000)Google Scholar
  3. 3.
    Delot, T., Cenerario, N., Ilarri, S.: Vehicular Event Sharing with a Mobile Peer-to-Peer Architecture. Transportation Research Part C: Emerging Technologies 18(4), 584–598 (2010); ISSN: 0968-090XCrossRefGoogle Scholar
  4. 4.
    Dietzel, S., Schoch, B., Konings, E., Weber, M., Kargl, F.: Resilient secure aggregation for vehicular networks. IEEE Network (2010)Google Scholar
  5. 5.
    Eichler, S., Merkle, C., Strassberger, M.: Data aggregation system for distributing inter-vehicle warning messages. In: Proc. IEEE Conf. on Local Computer Networks, pp. 543–544. IEEE Computer Society, Los Alamitos (2006)Google Scholar
  6. 6.
    Gollan, L., Meinel, C.: Digital signatures for automobiles. In: Proc. Systemics, Cybernetics and Informatics, pp. 225–230 (2002)Google Scholar
  7. 7.
    Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In: Proc. Hawaii International Conference on System Sciences, vol. 8, p. 8020. IEEE, Los Alamitos (2000)Google Scholar
  8. 8.
    Ibrahim, K., Weigle, M.C.: Accurate data aggregation for VANETs. In: Proc. ACM International Workshop on Vehicular Ad Hoc Networks (2007)Google Scholar
  9. 9.
    Locherta, C., Scheuermann, B., Mauvea, M.: A probabilistic method for cooperative hierarchical aggregation of data in VANETs. Ad Hoc Networks 8(5), 518–530 (2010)CrossRefGoogle Scholar
  10. 10.
    Molina-Gil, J., Caballero-Gil, P., Caballero-Gil, C.: Enhancing Collaboration in Vehicular Networks. In: Luo, Y. (ed.) CDVE 2010. LNCS, vol. 6240, pp. 77–80. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  11. 11.
    Picconi, F., Ravi, N., Gruteser, M., Iftode, L.: Probabilistic Validation of Aggregated Data in Vehicular Ad-Hoc Networks. In: Proc. International Workshop Vehicular Ad Hoc Networks, pp. 76–85. ACM Press, New York (2006)CrossRefGoogle Scholar
  12. 12.
    Yao, Y., Gehrke, J.: The cougar approach to in-network query processing in sensor networks. SIGMOD Rec. 31(3), 9–18 (2002)CrossRefGoogle Scholar
  13. 13.
    Zhang, J.: A Survey on Trust Management for VANETs. In: Proc. International Conference on Advanced Information Networking and Applications, AINA (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • P. Caballero-Gil
    • 1
  • J. Molina-Gil
    • 1
  • C. Caballero-Gil
    • 1
  1. 1.Department of Statistics, OR and ComputingUniversity of La LagunaSpain

Personalised recommendations