9th International Conference on Body Area Networks

Research Article

Live Group Detection for Mobile Wireless Sensor Networks

  • @INPROCEEDINGS{10.4108/icst.bodynets.2014.257026,
        author={Matthieu Lauzier and Antoine Fraboulet and Jean-Marie Gorce and Tanguy Risset},
        title={Live Group Detection for Mobile Wireless Sensor Networks},
        proceedings={9th International Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2014},
        month={11},
        keywords={mobile wireless sensor networks distributed consensus dynamic topology estimation},
        doi={10.4108/icst.bodynets.2014.257026}
    }
    
  • Matthieu Lauzier
    Antoine Fraboulet
    Jean-Marie Gorce
    Tanguy Risset
    Year: 2014
    Live Group Detection for Mobile Wireless Sensor Networks
    BODYNETS
    ACM
    DOI: 10.4108/icst.bodynets.2014.257026
Matthieu Lauzier,*, Antoine Fraboulet1, Jean-Marie Gorce2, Tanguy Risset2
  • 1: Hikob SA
  • 2: INSA-Lyon, CITI Inria
*Contact email: matthieu.lauzier@insa-lyon.fr

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 components. 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.