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Computing multicast trees in dynamic networks using evolving graphs

Sandeep Bhadra 1 Afonso Ferreira 1
1 MASCOTTE - Algorithms, simulation, combinatorics and optimization for telecommunications
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - COMRED - COMmunications, Réseaux, systèmes Embarqués et Distribués
Abstract : New technologies and the deployment of mobile and nomadic services are driving the emergence of complex communications networks, that have a highly dynamic behavior. This naturally engenders new route-discovery problems under changing conditions over these networks. Unfortunately, the temporal variations in the network topology are hard to be effectively captured in a classical graph model. In this paper, we use and extend a recently proposed graph theoretic model, which helps capture the evolving characteristi- c of such networks, in order to compute multicast trees with minimum overall transmission time for a class of wireless mobile dynamic networks. We first show that computing different types of strongly connected components in this model is NP-Complete, and then propose an algorithm to build all rooted directed minimum spanning trees in already identified strongly connected components.
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Submitted on : Tuesday, May 23, 2006 - 7:39:58 PM
Last modification on : Thursday, November 12, 2020 - 2:30:10 PM
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  • HAL Id : inria-00072057, version 1



Sandeep Bhadra, Afonso Ferreira. Computing multicast trees in dynamic networks using evolving graphs. [Research Report] RR-4531, INRIA. 2002. ⟨inria-00072057⟩



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