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Self-optimizing Routing in MANETs with Multi-class Flows

Pierre Coucheney 1 Bruno Gaujal 1 Corinne Touati 1 
1 MESCAL - Middleware efficiently scalable
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : In this paper we show how game theory and Gibbs sampling techniques can be used to design a self-optimizing algorithm for minimizing end-to-end delays for all flows in a multi-class mobile ad hoc network (MANET).
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https://hal.inria.fr/hal-00788876
Contributor : Arnaud Legrand Connect in order to contact the contributor
Submitted on : Friday, February 15, 2013 - 1:10:39 PM
Last modification on : Tuesday, August 2, 2022 - 4:24:49 AM

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UGA | CNRS | INRIA | IRISA | LIG | INRIA2 | UR1-MATH-STIC | UR1-UFR-ISTIC | UR1-MATH-NUM | LIG_SIDCH

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Pierre Coucheney, Bruno Gaujal, Corinne Touati. Self-optimizing Routing in MANETs with Multi-class Flows. 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2010, Istanbul, Turkey. pp.2751-2756, ⟨10.1109/PIMRC.2010.5671812⟩. ⟨hal-00788876⟩

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