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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, 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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Submitted on : Thursday, January 29, 2015 - 2:22:55 PM
Last modification on : Wednesday, March 9, 2022 - 3:30:37 PM
Long-term archiving on: : Wednesday, May 27, 2015 - 1:41:11 PM


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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. ⟨10.4108/icst.bodynets.2014.257026⟩. ⟨hal-01108423⟩



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