Thèse soutenue

Méthodes de conservation d'énergie pour les communications dans les réseaux de capteurs sans fil
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Auteur / Autrice : Sofiane Moad
Direction : Gerardo RubinoNizar Bouabdallah
Type : Thèse de doctorat
Discipline(s) : Informatique
Date : Soutenance en 2011
Etablissement(s) : Rennes 1
Ecole(s) doctorale(s) : École doctorale Mathématiques, télécommunications, informatique, signal, systèmes, électronique (Rennes)
Partenaire(s) de recherche : autre partenaire : Université européenne de Bretagne (2007-2016)

Résumé

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Wireless Sensor Networks (WSNs) are composed of tiny sensor nodes, which are cable of sensing and processing data from inaccessible environments and communicating them to the end-user for further analysis. WSNs are characterized by the limited capacity of sensor node batteries, which makes energy-efficiency a critical issue. Once a WSN is deployed, sensor nodes must self-organize and live as long as possible, based only on their initial amount of energy. Consequently, techniques minimizing energy consumption are required to improve network lifetime. In such a way, this thesis deals with the development of various energy-saving mechanisms. Our research revolves around three main areas: 1) in-network processing, 2) clustering, and 3) radio diversity. Concerning in-network processing, we proposed a Smart AGgregation technique (SAG) that controls energy consumption, while adjusting user error. On the same subject, we integrate a compression mechanism within a cluster-based architecture to develop a Compression Cluster-based scheme in a Spatial Correlated Region protocol (CC\_SCR), to further decrease energy consumption. Moving on to clustering, our research leds to the development of an ADaptive Energy-Efficient Clustering protocol (ADEEC), resulting in better network organization and decreased in energy consumption. In the field of diversity direction, we explored how to minimize energy consumption when using multiple radios for routing in WSNs. We first proposed a novel metric that uses a minimum-energy radio when routing, then we proposed another metric that allows energy balancing inside a network in order to extend its lifetime, and finally we proposed a delay-sensitive metric that adapts routing packets with different priorities. The validation of our contributions were carried out with deep analytical analysis and simulation using TOSSIM.