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Context Delivery in Ad Hoc Networks Using Enhanced Gossiping Algorithms

  • Syarulnaziah Anawar
  • Lorcan Coyle
  • Simon Dobson
  • Paddy Nixon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4272)

Abstract

The dissemination of context data across a pervasive environment has proven to be a difficult problem. Techniques using gossiping algorithms offer simplicity and flexibility but often result in poor performance with respect to timeliness of delivery and communication cost. In this ongoing-work, we present enhanced gossiping algorithms that aim to improve the efficiency of context data delivery in a decentralised manner using network and data-driven approaches.

Keywords

Context Information Context Data Query Path Neighbour Table Decentralise Manner 
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.
    Voulgaris, S., Jelasity, M., van Steen, M.: A Robust and Scalable Peer-to-Peer Gossiping Protocol. In: Moro, G., Sartori, C., Singh, M.P. (eds.) AP2PC 2003. LNCS, vol. 2872, pp. 47–58. Springer, Heidelberg (2004)CrossRefGoogle Scholar
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    Clear, A.K., Knox, S., Ye, J., Coyle, L., Dobson, S., Nixon, P.: Integrating multiple contexts and ontologies in a pervasive computing framework. In: Contexts and Ontologies: Theory, Practice and Applications, Riva Del Garda, Italy (to appear 2006)Google Scholar
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    Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm intelligence: from natural to artificial systems. Oxford University Press, Oxford (1999)MATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Syarulnaziah Anawar
    • 1
  • Lorcan Coyle
    • 1
  • Simon Dobson
    • 1
  • Paddy Nixon
    • 1
  1. 1.Systems Research Group, School of Computer Science & InformaticsUniversity College DublinBelfieldIreland

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