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Challenges in Modeling and Disseminating Context Information in Ambient Networks

  • Dineshbalu Balakrishnan
  • May El Barachi
  • Ahmed Karmouch
  • Roch Glitho
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3744)

Abstract

The concept of Ambient Networks (AN) aims at enabling the co-operation between heterogeneous networks on demand, in order to provide ubiquitous connectivity to end-users. This could be achieved by seamlessly incorporating context-awareness which plays a vital role in supporting autonomic decision making in ANs, while giving rise to new types of applications and services. Modeling and disseminating contextual information in a rapidly changing time-constrained heterogeneous environment, transparently to the potential users, is a challenge. This paper discusses these complications with an evaluation of the existing context modeling and dissemination approaches, with respect to ambient networking requirements.

Keywords

Model Check Unify Modeling Language Context Modeling Context Aware System Dissemination Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Niebert, N., et al.: Ambient Networks – An Architecture for Communication Networks Beyond 3G. IEEE Wireless Communications (2004)Google Scholar
  2. 2.
    Karmouch, A., et al.: Contextware Research Challenges in Ambient Networks. In: Karmouch, A., Korba, L., Madeira, E.R.M. (eds.) MATA 2004. LNCS, vol. 3284, pp. 62–77. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  3. 3.
    Schilit, B.N., Theimer, M.M., Welch, B.B.: Customizing mobile applications. In: Proc. of USENIX Mobile and Location-Independent Computing Symposium, pp. 129–138 (1993)Google Scholar
  4. 4.
    Voelker, G., Bershad, B.: Mobisaic: An information system for mobile wireless computing environment. In: Proc. of IEEE Workshop on Mobile Computing Systems and Applications, pp. 185–190 (1994)Google Scholar
  5. 5.
    Held, A., Buchholz, S., Schill, A.: Modeling of context information for pervasive computing applications. In: Proc. of the 6th World Multiconference on Systemics, Cybernetics, and Informatics (2002)Google Scholar
  6. 6.
    Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: Mattern, F., Naghshineh, M. (eds.) PERVASIVE 2002. LNCS, vol. 2414, pp. 167–180. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  7. 7.
    Davies, N., Cheverst, K., Mitchell, K., Friday, A.: Caches in the air: Disseminating tourist information in the GUIDE system. In: Proc. of the 2nd IEEE Workshop on Mobile Computing Systems and Applications, pp. 11–19 (1999)Google Scholar
  8. 8.
    Gray, P., Salber, D.: Modelling and using sensed context information in the design of interactive applications. In: Nigay, L., Little, M.R. (eds.) EHCI 2001. LNCS, vol. 2254, p. 317. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  9. 9.
    Wang, X.H., Zhang, D.Q., Gu, T., Pung, H.K.: Ontology based context modeling and reasoning using OWL. In: Proc. of the 2nd IEEE Annual Conference on Pervasive Computing and Communications Workshops, pp. 18–22 (2004)Google Scholar
  10. 10.
    Henricksen, K., Livingstone, S., Indulska, J.: Towards a hybrid approach to context modelling, reasoning and interoperation. In: Proc. of the 1st International Workshop on Advanced Context Modeling, Reasoning, and Management (2004)Google Scholar
  11. 11.
    Becker, C., Nicklas, D.: Where do spatial context-models end and where do Ontologies start? A proposal of a combined approach. In: Proc. of the 1st International Workshop on Advanced Context Modeling, Reasoning, and Management (2004)Google Scholar
  12. 12.
    Khedr, M., Karmouch, A.: A Semantic Approach for Negotiating Context Information in Context Aware Systems, IEEE Intelligent Systems (2005) (to be published)Google Scholar
  13. 13.
    Banavar, G., et al.: Information Flow Based Event Distribution Middleware. In: Proc. Of the 19th IEEE Intl. Conf. on Distributed Computing Systems (1999)Google Scholar
  14. 14.
    Carzaniga, A., Rosenblum, D.S., Wolf, A.L.: Design and evaluation of a wide-area event notification service. ACM Trans. Comput. Syst. 19, 332–383 (2001)CrossRefGoogle Scholar
  15. 15.
    Chen, G., Kotz, D.: Supporting adaptive ubiquitous applications with the SOLAR system, tech. report TR2001-397, Dept. of Computer Science, Dartmouth College (2001)Google Scholar
  16. 16.
    Chen, G., Kotz, D.: Solar: A pervasive-computing infrastructure for context-aware mobile applications, tech. report TR2002-421, Dartmouth College (2002)Google Scholar
  17. 17.
    Snoeren, A.C., Conley, K., Gifford, D.K.: Mesh-Based Content Routing using XML. In: Proc. of the 18th ACM Symposium on Operating Systems Principles, Banff, Canada (2001)Google Scholar
  18. 18.
    Chen, G., Kotz, D.: Application-Controlled Loss-Tolerant Data Dissemination, tech. report TR2004-488, Dartmouth College (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Dineshbalu Balakrishnan
    • 1
  • May El Barachi
    • 2
  • Ahmed Karmouch
    • 1
  • Roch Glitho
    • 2
  1. 1.MMARL, SITEUniversity of OttawaOttawaCanada
  2. 2.Concordia UniversityMontrealCanada

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