Distributed Information Gathering and Estimation in Wireless Sensor Networks

Wenjie LI
Soutenance de thèse de doctorat le 15 Novembre 2016, 10h00 à CentraleSupelec (Gif-sur-Yvette) Amphi F3-06

Wireless sensor networks (WSNs) have attracted much interests in the last decade. The first part of this thesis considers sparse random linear network coding is for data gathering and compression in WSNs. An information-theoretic approach is applied to demonstrate the necessary and sufficient conditions to realize the asymptotically perfect reconstruction under MAP estimation. The second part of the thesis concerns the distributed self-rating (DSR) problem, for WSNs with nodes that have different ability of performing some task (sensing, detection...). The main assumption is that each node does not know and needs to estimate its ability. Depending on the number of ability levels and the communication conditions, three sub-problems have been addressed: i) distributed faulty node detection (DFD) to identify the nodes equipped with defective sensors in dense WSNs; ii) DFD in delay tolerant networks (DTNs) with sparse and intermittent connectivity; iii) DSR using pairwise comparison. Distributed algorithms have been proposed and analyzed. Theoretical results assess the effectiveness of the proposed solution and give guidelines in the design of the algorithm.

Membres du jury :

M. Cédric RICHARD, Professeur (Université de Nice Sophia Antipolis),  Rapporteur
M. Jean-Marie GORCE, Professeur (INSA Lyon), Rapporteur
Mme. Béatrice LAROCHE,  Directeur de recherche (INRA), Examinatrice
M. Fabio FAGNANI,  Professor (Politecnico di Torino), Examinateur
M. Davide DARDARI, Associate Professor (University of Bologna), Examinateur
M. Michel KIEFFER,  Professeur (Université Paris-Sud), Directeur de thèse
Mme. Francesca BASSI, Enseignant-Chercheur (ESME-Sudria), Co-encadrant de thèse