This paper addresses the information theoretical analysis of data compression achieved by
random linear network coding in wireless sensor networks. A sparse network coding matrix …

Abstract Ubiquitous Internet of Things (IoT) is destined to connect everybody and everything
on a never-before-seen scale. Such networks, however, have to tackle the inherent issues …

The environmental and social costs of using oil resources as well as their increasing scarcity
are challenging tomorrow's agriculture to reduce its dependency on fossil energies (Chow et …

We study the following one-way asymmetric transmission problem, also a variant of model-
based compressed sensing: a resource-limited encoder has to report a small set $ S $ from …

This dissertation consists of two parts, both of which consider linear inverse problems of
compressed sensing and cooperative networks for the recovery of unknown signals over …

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 …

Résumé Les réseaux de capteurs sans fils (RCSFs) suscitent un intérêt croissant depuis
une vingtaine d'années. La première partie de cette thèse est consacré à l'étude de …