Abstract
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.
This work was supported by the Ministerio de Ciencia e Innovación and the European FEDER Fund under Project TIN2008-02236/TSI and FPI scholarship BES-2009-016774, and by the Agencia Canaria de Investigación, Innovación y Sociedad de la Información under PI2007/005 Project and FPI scholarship BOC Number 60.
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References
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)
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)
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: 0968-090X
Dietzel, S., Schoch, B., Konings, E., Weber, M., Kargl, F.: Resilient secure aggregation for vehicular networks. IEEE Network (2010)
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)
Gollan, L., Meinel, C.: Digital signatures for automobiles. In: Proc. Systemics, Cybernetics and Informatics, pp. 225–230 (2002)
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)
Ibrahim, K., Weigle, M.C.: Accurate data aggregation for VANETs. In: Proc. ACM International Workshop on Vehicular Ad Hoc Networks (2007)
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)
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)
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)
Yao, Y., Gehrke, J.: The cougar approach to in-network query processing in sensor networks. SIGMOD Rec. 31(3), 9–18 (2002)
Zhang, J.: A Survey on Trust Management for VANETs. In: Proc. International Conference on Advanced Information Networking and Applications, AINA (2011)
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Caballero-Gil, P., Molina-Gil, J., Caballero-Gil, C. (2011). Data Aggregation Based on Fuzzy Logic for VANETs. In: Herrero, Á., Corchado, E. (eds) Computational Intelligence in Security for Information Systems. Lecture Notes in Computer Science, vol 6694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21323-6_5
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DOI: https://doi.org/10.1007/978-3-642-21323-6_5
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