Distributed Mobile Group Detection Algorithms: Application to Cycling Race

Matthieu Lauzier 1 Antoine Fraboulet 2, * Jean-Marie Gorce 1, * Tanguy Risset 1
* Auteur correspondant
1 SOCRATE - Software and Cognitive radio for telecommunications
Inria Grenoble - Rhône-Alpes, UCBL - Université Claude Bernard Lyon 1, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : In the large research area of wireless body area networks, cooperative applications involving several users is attracting strong interests. This cooperation may target a simple information exchange or even some cooperative decision such as swarm coordination. We consider in this paper such a swarm of users moving in a common direction and we are interested in the mechanisms allowing to propagate and share some common information. We extend and improve a previous algorithm derived as a max-consensus approach. We describe a complete experimental setup deployed during a real bike race with 200 runners. %We additionally deployed a spying code allowing to store the complete information flows on We provide a deep analysis of the radio links properties (stability, strength...) and the equivalent graph evolution (graph diameter, neighborhood characterization...) from the record made on 20 nodes. At the best of our knowledge, this paper is the first one providing such analysis in a real experiment with a swarm of 200 nodes located on bikes during an official race.
Type de document :
Communication dans un congrès
Ninth IEEE Workshop on Practical Issues in Building Sensor Network Applications 2014, Sep 2014, Edmonton, Canada. 2014, <10.1109/LCNW.2014.6927701>
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https://hal.inria.fr/hal-01018239
Contributeur : Jean-Marie Gorce <>
Soumis le : vendredi 4 juillet 2014 - 00:33:18
Dernière modification le : mardi 17 novembre 2015 - 17:39:36

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Matthieu Lauzier, Antoine Fraboulet, Jean-Marie Gorce, Tanguy Risset. Distributed Mobile Group Detection Algorithms: Application to Cycling Race. Ninth IEEE Workshop on Practical Issues in Building Sensor Network Applications 2014, Sep 2014, Edmonton, Canada. 2014, <10.1109/LCNW.2014.6927701>. <hal-01018239>

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