Analysis of Dynamic Sensor Networks: Power Law Then What?

Eric Fleury 1, 2 Jean-Loup Guillaume 1 Céline Robardet 3 Antoine Scherrer 4
1 ARES - Architectures of networks of services
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
3 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Recent studies on wireless sensor networks (WSN) have shown that the duration of contacts and inter-contacts are power law distributed. While this is a strong property of these networks, we will show that this is not sufficient to describe properly the dynamics of sensor networks. We will present some coupled arguments from data mining, random processes and graph theory to describe more accurately the dynamics with the use of a random model to show the limits of an approach limited to power law contact durations.
Type de document :
Communication dans un congrès
Second International Conference on COMmunication Systems softWAre and middlewaRE (COMSWARE 2007), 2007, Bangalore, India. 2007
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https://hal.inria.fr/inria-00398809
Contributeur : Eric Fleury <>
Soumis le : mercredi 24 juin 2009 - 21:38:28
Dernière modification le : vendredi 20 avril 2018 - 15:44:24

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  • HAL Id : inria-00398809, version 1

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Eric Fleury, Jean-Loup Guillaume, Céline Robardet, Antoine Scherrer. Analysis of Dynamic Sensor Networks: Power Law Then What?. Second International Conference on COMmunication Systems softWAre and middlewaRE (COMSWARE 2007), 2007, Bangalore, India. 2007. 〈inria-00398809〉

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