Live Group Detection for Mobile Wireless Sensor Networks

Matthieu Lauzier 1 Tanguy Risset 1 Antoine Fraboulet 1 Jean-Marie Gorce 1, 2
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 : This paper deals with distributed algorithms for monitoring the topology of a dynamic group of mobile wireless sensor networks. We propose two major extensions of a distributed static group consensus algorithm and an experimental implementation. Group consensus algorithms are exploited to let each node obtain the knowledge of its connected com-ponents. The proposed extensions provide a more accurate information about the proximity of nodes and allow to deal with dynamic networks using a periodical reevaluation of the group detection. We validate these algorithms by implementing them in an original and challenging application scenario, in the context of a real bicycle race. The real traces thus obtained and analyzed show the effectiveness of our live group detection implementation.
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Communication dans un congrès
BodyNets 2014 - 9th International Conference on Body Area Networks, Sep 2014, Londres, United Kingdom. 2014, 〈10.4108/icst.bodynets.2014.257026〉
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Soumis le : jeudi 29 janvier 2015 - 14:22:55
Dernière modification le : mardi 16 janvier 2018 - 15:49:53
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Matthieu Lauzier, Tanguy Risset, Antoine Fraboulet, Jean-Marie Gorce. Live Group Detection for Mobile Wireless Sensor Networks. BodyNets 2014 - 9th International Conference on Body Area Networks, Sep 2014, Londres, United Kingdom. 2014, 〈10.4108/icst.bodynets.2014.257026〉. 〈hal-01108423〉

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