Compressive Data Aggregation on Mobile Wireless Sensor Networks for Sensing in Bike Races

Wei Du 1 Jean-Marie Gorce 1 Tanguy Risset 1 Matthieu Lauzier 2 Antoine Fraboulet 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 presents an efficient approach to data collection in mobile wireless sensor networks, with the specific application of sensing in bike races. Recent sensor technology permits to track GPS position of each bike. Because of the inherent correlation between bike positions in a bike race, a simple GPS log is inefficient. The idea presented in this work is to aggregate GPS data at sensors using compressive sensing techniques. We enforce, in addition to signal sparsity, a spatial prior on biker motion because of the group behaviour (peloton) in bike races. The spatial prior is modeled by a graphical model and the data aggregation problem is solved, with both the sparsity and the spatial prior, by belief propagation. We validate our approach on a bike race simulator using trajectories of motorbikes in a real bike race, the " critérium du dauphiné 20XX " .
Type de document :
Communication dans un congrès
European Signal Processing Conference (EUSIPCO 2016), Aug 2016, Budapest, Hungary
Liste complète des métadonnées

https://hal.inria.fr/hal-01395629
Contributeur : Jean-Marie Gorce <>
Soumis le : jeudi 24 novembre 2016 - 15:41:56
Dernière modification le : mardi 13 décembre 2016 - 15:44:29
Document(s) archivé(s) le : jeudi 16 mars 2017 - 11:45:32

Fichiers

eusipco2016.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01395629, version 1
  • ARXIV : 1611.08220

Collections

Citation

Wei Du, Jean-Marie Gorce, Tanguy Risset, Matthieu Lauzier, Antoine Fraboulet. Compressive Data Aggregation on Mobile Wireless Sensor Networks for Sensing in Bike Races. European Signal Processing Conference (EUSIPCO 2016), Aug 2016, Budapest, Hungary. 〈hal-01395629〉

Partager

Métriques

Consultations de la notice

248

Téléchargements de fichiers

50