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Computing shortest, fastest, and foremost journeys in dynamic networks

Binh-Minh Bui-Xuan 1 Afonso Ferreira Aubin Jarry
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 -- the evolving graphs --, which helps capture the evolving characteristic of such networks, in order to propose and formally analyze least cost journeys (the analog of paths in usual graphs) in a class of dynamic networks. Cost measures investigated here are hop count (shortest journeys), arrival date (foremost journeys), and time span (fastest journeys).
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Submitted on : Tuesday, May 23, 2006 - 7:29:53 PM
Last modification on : Thursday, November 12, 2020 - 2:30:10 PM
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  • HAL Id : inria-00071996, version 1



Binh-Minh Bui-Xuan, Afonso Ferreira, Aubin Jarry. Computing shortest, fastest, and foremost journeys in dynamic networks. RR-4589, INRIA. 2002. ⟨inria-00071996⟩



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