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).
Type de document :
Communication dans un congrès
21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2010, Istanbul, Turkey. IEEE, pp.2751-2756, 2010, 〈10.1109/PIMRC.2010.5671812〉
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https://hal.inria.fr/hal-00788876
Contributeur : Arnaud Legrand <>
Soumis le : vendredi 15 février 2013 - 13:10:39
Dernière modification le : mercredi 11 avril 2018 - 01:51:36

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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. IEEE, pp.2751-2756, 2010, 〈10.1109/PIMRC.2010.5671812〉. 〈hal-00788876〉

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