Auto-adaptive mechanisms for Quality of Service management in wireless sensor networks
Identifieur interne : 002103 ( Main/Exploration ); précédent : 002102; suivant : 002104Auto-adaptive mechanisms for Quality of Service management in wireless sensor networks
Auteurs : Bilel Nefzi [France]Source :
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Abstract
Nowadays, most of wireless sensor networks use CSMA/CA protocol. Providing quality of service (QoS) support in such networks is a difficult problem because of the network dynamics and the high constraints in terms of resources like energy and memory. In this thesis and without changing the basic access protocol, CSMA/CA, we developed auto-adaptive mechanisms for best-effort QoS targeted to applications requiring differentiation services. Three mechanisms are proposed; CoSenS for "Collecting then Sending burst Scheme" which enhances the performances of CSMA/CA, P-CoSenS for "Priority CoSenS" which adds priority management to CoSenS and S-CoSenS for "S-CoSenS" which tackles energy efficiency using CoSenS. We emphasize that CoSenS mechanism not only enhances the performance of CSMA/CA in terms of throughput, end-to-end delay and successful transmission rates but enables also the implementation of scheduling policies; since the router collects and queues paquets before retransmitting them, it has a complete knowledge about them and can then schedule them efficiently (P-CoSenS). S-CoSenS tackles the energy/throughput tradeoff. In fact, the state of a network varies according to the monitored environment. The network may be at some times lightly loaded with non urgent traffic and at other times highly loaded with urgent traffic generated by nodes in order to monitor a happening phenomenon more closely and hence take the best decision. In the former case, the network must save energy. In the latter case, it must provide bandwidth. S-CoSenS auto-adapts its sleeping and active periods according the incoming traffic. Our propositions are validated by simulations and CoSenS is implemented on a wireless sensor platform.
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Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>QoS</term><term>auto-adaptability</term><term>energy</term><term>optimization</term><term>queue</term><term>scheduling</term><term>tree routing.</term><term>wireless sensor network</term></keywords><keywords scheme="mix" xml:lang="fr"><term>MAC</term><term>QdS</term><term>Réseau de capteur sans fil</term><term>auto-adaptatif</term><term>file d'attente</term><term>optimisation</term><term>ordonnancement</term><term>routage en arbre</term><term>énergie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Nowadays, most of wireless sensor networks use CSMA/CA protocol. Providing quality of service (QoS) support in such networks is a difficult problem because of the network dynamics and the high constraints in terms of resources like energy and memory. In this thesis and without changing the basic access protocol, CSMA/CA, we developed auto-adaptive mechanisms for best-effort QoS targeted to applications requiring differentiation services. Three mechanisms are proposed; CoSenS for "Collecting then Sending burst Scheme" which enhances the performances of CSMA/CA, P-CoSenS for "Priority CoSenS" which adds priority management to CoSenS and S-CoSenS for "S-CoSenS" which tackles energy efficiency using CoSenS. We emphasize that CoSenS mechanism not only enhances the performance of CSMA/CA in terms of throughput, end-to-end delay and successful transmission rates but enables also the implementation of scheduling policies; since the router collects and queues paquets before retransmitting them, it has a complete knowledge about them and can then schedule them efficiently (P-CoSenS). S-CoSenS tackles the energy/throughput tradeoff. In fact, the state of a network varies according to the monitored environment. The network may be at some times lightly loaded with non urgent traffic and at other times highly loaded with urgent traffic generated by nodes in order to monitor a happening phenomenon more closely and hence take the best decision. In the former case, the network must save energy. In the latter case, it must provide bandwidth. S-CoSenS auto-adapts its sleeping and active periods according the incoming traffic. Our propositions are validated by simulations and CoSenS is implemented on a wireless sensor platform.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Nefzi, Bilel" sort="Nefzi, Bilel" uniqKey="Nefzi B" first="Bilel" last="Nefzi">Bilel Nefzi</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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