Skip to main content
SpringerLink
Log in

VANET IR-CAS for Commercial SA: Information Retrieval Context Aware System for VANET Commercial Service Announcement

  • Published:
International Journal of Intelligent Transportation Systems Research Aims and scope Submit manuscript

Abstract

We propose a context aware system for VANET based on information retrieval and show how it supports Service Announcement (SA). VANET IR-CAS enhances scalability through its highly abstract hybrid context model. It uses an ontology that formalizes the semantics of VANET context domain to allow for knowledge sharing. A hybrid vehicular communication (HVC) is utilized to increase the decentralization, exploit vehicle processing power and protect privacy. The employed IR techniques and partial relevance improve the dispatched information relevance to prospective recipients and add to their satisfaction. Using smart service grouping raises filtering efficiency due to reduction in required connection time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Yasar, A., Vanrompay, Y., Preuveneers, D., Berbers, Y.: Optimizing Information Dissemination in Large Scale Mobile Peer-to-Peer Networks Using Context-Based Grouping. Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference, 1065–1071, pp. 19–22. (Sept. 2010)

  2. Belkin, N., Croft, W.: Information filtering and information retrieval: two sides of the same coin? Commun. ACM 35(12), 29–38 (1992)

    Article  Google Scholar 

  3. Nassar, L., Karray, F., Kamel, M., Sattar, F.: VANET IR-CAS: utilizing IR techniques in developing context aware system for VANET. Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications, DIVANet, pp. 97–104. (2012). doi:10.1145/2386958.2386973

  4. Bai, F., Krishnan, H., Sadekar, V. Holland, G.: Towards characterizing and classifying communication-based automotive applications from a wireless networking perspective. In: IEEE workshop on Automotive Networking and Applications Vehicular Technology (AutoNet 2006) in Conjunction with Globecom. (2006)

  5. Bako, B., Weber M.: Efficient information dissemination in VANETs. In: Almeida, M. (ed.) Advances in Vehicular Networking Technologies. ISBN: 978-953-307-241-8, InTech. (2011). doi:10.5772/15533

  6. Karagiannis, G., Altintas, O., Ekici, E., Heijenk, G. J., Jarupan, B., Lin, K., Weil, T.: Vehicular networking: a survey and tutorial on requirements, architectures, challenges, standards and solutions. In: Proceedings of IEEE Communications Surveys and Tutorials, pp. 584–616. (2011). doi:10.1109/SURV.2011.061411.00019

  7. Hartenstein, H., Laberteaux, K. (Ed.): VANET Vehicular Applications and Inter-Networking Technologies. Published by: John Wiley & Sons, Ltd. ISBN: 978-0-470-74056-9, (2010)

  8. Galaviz-Mosqueda, G., Aquino-Santos, R., Villaseñor-González, L., Rangel-Licea, V., Edwards-Block, A.: Survey on multi-hop vehicular ad hoc networks under IEEE 802.16 technology. In: Wang, X. (ed.) Mobile Ad-Hoc Networks: Applications. ISBN: 978-953-307-416-0, InTech. (2011). doi:10.5772/12999

  9. Sichitiu, M., Kihl, M.: Inter-vehicle communication systems: a survey. IEEE Commun. Surv. Tutorials 10(1–4), 88–105 (2008)

    Article  Google Scholar 

  10. Yilmaz, Ö., Erdur, R.: iConAwa - an intelligent context-aware system. Expert Syst. Appl. 39(3), 2907–2918 (2012)

    Article  Google Scholar 

  11. Chen, G., Kotz, D.: A Survey of Context-Aware Mobile Computing Research. Technical Report TR, pp. 200–381. Dept. of Computer Science, Dartmouth College (2000)

  12. Bettini, C., Brdiczka, O., Henricksen, K., Indulska, J., Nicklas, D., Ranganathan, A., Riboni, D.: A survey of context modeling and reasoning techniques. Elsevier Pervasive Mob. Comput. 6(2), 161–180 (2010)

    Article  Google Scholar 

  13. Baldauf, M., Dustdar, S., Rosenberg, F.: A survey on context-aware systems. Int. J. Ad Hoc Ubiquit. Comput. 2(4), 263–277 (2007)

    Article  Google Scholar 

  14. Preuveneers, D., Berbers, Y.: Architectural backpropagation support for managing ambiguous context in smart environments. In: HCI (6), Volume 4555 of Lecture Notes in Computer Science, pp. 178–187. Springer (2007). doi:10.1007/978–3–540–73281–5_19

  15. Zhou, B., Yao, Y.: Evaluating information retrieval system performance based on user preference. J. Intell. Inf. Syst. 34(3), 227–248 (2010)

    Article  Google Scholar 

  16. Kukliński, S., Wolny, G.: CARAVAN: a context-awarre architecture for VANET. In: Wang, X. (ed.) Mobile Ad-Hoc Networks: Applications. ISBN: 978-953-307-416-0, InTech. (2011). doi:10.5772/13128

  17. Santa, J., Gómez-Skarmeta, A.F.: Sharing context-aware road and safety information. IEEE Pervasive Comput. 8(3), 58–65 (2009). doi:10.1109/MPRV.2009.56

    Article  Google Scholar 

  18. Santa, J., Muñoz, A., Gómez-Skarmeta, A.: A context-aware solution for personalized en-route information through a P2P agent-based architecture. Proc. Int’l Conf. Computational Science and Its Applications (ICCSA 07), LNCS 4707, pp. 710–723. Springer. (2007)

  19. Grilli G.: Data dissemination in vehicular ad-hoc networks. University of Rome “Tor Vergata” (2010). Available from: http://hdl.handle.net/2108/1434

  20. Nowacka, K., Zadrozny, S., Kacprzyk, J.: A new fuzzy logic based information retrieval model. Proceedings of the Information Processing and Management of Uncertainty -IPMU’08, pp. 1749–1756. (June 22–27 2008)

  21. Nassar, L., Jundi, A., Golestan, K., Sattar, F., Karray, F., Kamel, M., Boumaiza, S.: Vehicular ad-hoc networks (VANETs): capabilities, challenges in context-aware processing and communication gateway. Lecture notes in computer science, autonomous and intelligent systems, pp. 42–49. (2012). doi:10.1007/978–3–642–31368–4_6

  22. Vector space model, Wikipedia, the Free Encyclopedia. Retrieved June, 2013. Available online from: <http://en.wikipedia.org/wiki/Vector_space_model>

  23. Manning, C.D., Raghavan, P., Schütze, H.: An Introduction to Information Retrieval. Cambridge University Press, New York (2008)

    Book  Google Scholar 

  24. Weisenberg, N., Voisard, A., Gartmann, R.: Using ontologies in personalized mobile applications. In: Proceedings ACMGIS 2004, pp. 2–11. Washington DC, USA (November 2004)

  25. Santa, J., Muñoz, A., Gómez-Skarmeta, A.: Providing adapted contextual information vehicular network. Int. J. Digit. Multimedia Broadcast. 2010, 14 (2010). doi:10.1155/2010/216582. Article ID 216582

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Electrical & Computer Engineering, University of Waterloo, 200 University Avenue, West Waterloo, ON, N2L 3G1, Canada

    Lobna Nassar, Fakhri Karray & Mohamed S. Kamel

Authors
  1. Lobna Nassar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fakhri Karray
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohamed S. Kamel
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lobna Nassar.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Nassar, L., Karray, F. & Kamel, M.S. VANET IR-CAS for Commercial SA: Information Retrieval Context Aware System for VANET Commercial Service Announcement. Int. J. ITS Res. 13, 37–49 (2015). https://doi.org/10.1007/s13177-014-0078-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13177-014-0078-z

Keywords

Search

Navigation