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Self-management of Routing on Human Proximity Networks

  • Graham Williamson
  • Davide Cellai
  • Simon Dobson
  • Paddy Nixon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5918)

Abstract

Many modern network applications, including sensor networks and MANETs, have dynamic topologies that reflect processes occurring in the outside world. These dynamic processes are a challenge to traditional information dissemination techniques, as the appropriate strategy changes according to the changes in topology. We show how network dynamics can be exploited to design a self-organising data dissemination mechanism using only node-level (local) information, which detects and adapts to periodic patterns in the network topology. We demonstrate our approach against real-world human-proximity networks.

Keywords

Delivery Ratio Node Degree Betweenness Centrality Periodic Pattern Message Copy 
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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Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Graham Williamson
    • 1
  • Davide Cellai
    • 1
    • 2
  • Simon Dobson
    • 1
    • 2
  • Paddy Nixon
    • 1
    • 2
  1. 1.Systems Research Group, School of Computer Science and InformaticsUniversity College DublinDublinIreland
  2. 2.Lero, School of Computer Science and InformaticsUniversity College DublinDublinIreland

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