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
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.
