Iterative distributed outlier detection for wireless sensor networks: Equilibrium and convergence analysis

Abstract : This paper analyzes a distributed outlier detection mechanism for wireless sensor networks. Outliers are data produced by sensors which are corrupted in a way that cannot simply be explained by the effects of the measurement noise. The outlier detection mechanism assumes some generic test to be available, which is only able to determine whether a set of data contains outliers, without being able to determine which data are outliers. The focus of this paper is on the equilibrium and stability analysis of the proposed iterative distributed outlier detection mechanism. Some sufficient conditions to be satisfied by the generic outlier detection test are established. Simulation results are then provided for an outlier model.
Type de document :
Communication dans un congrès
54th IEEE Conference on Decision and Control (CDC), Dec 2015, Osaka, Japan. 2015, 〈10.1109/cdc.2015.7402677 〉
Liste complète des métadonnées

Littérature citée [13 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01327824
Contributeur : Wenjie Li <>
Soumis le : mardi 7 juin 2016 - 10:40:08
Dernière modification le : lundi 17 septembre 2018 - 10:04:09

Fichier

CDC2015_v12.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Wenjie Li, Francesca Bassi, Davide Dardari, Michel Kieffer, Gianni Pasolini. Iterative distributed outlier detection for wireless sensor networks: Equilibrium and convergence analysis. 54th IEEE Conference on Decision and Control (CDC), Dec 2015, Osaka, Japan. 2015, 〈10.1109/cdc.2015.7402677 〉. 〈hal-01327824〉

Partager

Métriques

Consultations de la notice

153

Téléchargements de fichiers

72