Artikel in Tagungsband INPROC-2002-23

Bibliograph.
Daten
Khelil, Abdelmajid; Becker, Christian; Tian, Jing; Rothermel, Kurt: An Epidemic Model for Information Diffusion in MANETs.
In: Dahlberg, Teresa (Hrsg); Meo, Michela (Hrsg); Zomaya, Albert (Hrsg): Proceedings of the 5th International Workshop on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM'02) at MobiCom 2002.
Universität Stuttgart : Sonderforschungsbereich SFB 627 (Nexus: Umgebungsmodelle für mobile kontextbezogene Systeme).
ACM MSWiM Proceedings, S. 54-60, englisch.
Atlanta, Georgia, USA: ACM PRESS, 28. September 2002.
ISBN: 1-58113-610-2.
Artikel in Tagungsband (Konferenz-Beitrag).
KörperschaftACM 5th International Workshop on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM'02)
CR-Klassif.C.2.1 (Network Architecture and Design)
C.2.2 (Network Protocols)
I.6.5 (Model Development)
KeywordsAlgorithms; Performance; Reliability; MANET; analytical modeling; adaptive information diffusion
Kurzfassung

Choosing appropriate information dissemination strategies is crucial in mobile ad hoc networks (MANET) due to the frequent topology changes. Flooding-based approaches like diffusion have a strong similarity with epidemic spreading of diseases. Applying epidemiological models to information diffusion allows the evaluation of such strategies depending on the MANET characteristics, e.g. the node density. In order to choose appropriate strategies at run time, the model should be easily evaluated.

In this paper, an epidemic model is developed for a simple information diffusion algorithm based on simulation results. We analytically investigate the impact of node density on information diffusion. The analytical model allows the evaluation at runtime, even on devices with restricted resources, and thus enables mobile nodes to dynamically adapt their diffusion strategies depending on the local node density.

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KontaktUniversity of Stuttgart / IPVS Breitwiesenstr. 20-22 70565 Stuttgart, Germany +49 711 7816 {251, 357, 228, 434} {khelil, becker, tian, rothermel}@informatik.uni-stuttgart.de
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Höchstleistungsrechner, Verteilte Systeme
Projekt(e)SFB-627, B3 (Universität Stuttgart, Institut für Parallele und Verteilte Höchstleistungsrechner, Verteilte Systeme)
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Eingabedatum31. Januar 2003
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