Distributed Methods for Convex Optimisation - Couverture souple

9783737572026: Distributed Methods for Convex Optimisation

Couverture souple

ISBN 10 : 373757202X ISBN 13 : 9783737572026

Afficher les exemplaires de cette �dition comportant l'ISBN

0 D'occasion

3 Neuf

De EUR 19,95

D�tails de l'�dition

Langue: anglais
ISBN 10: 373757202X
ISBN 13: 9783737572026
Reliure: Broch�
Coordonn�es du fabricant: non disponible
Personne responsable: non disponible

R�sultats de recherche pour Distributed Methods for Convex Optimisation

Image fournie par le vendeur

Distributed Methods for Convex Optimisation

Olivier Bilenne

Edit� par Epubli Nov 2015, 2015

ISBN 10 : 373757202X ISBN 13 : 9783737572026

Neuf Taschenbuch

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A main issue in wireless sensor networks is the efficient exploitation of the individual energy resources of the sensor nodes, which communicate with each other by means of energy-demanding wireless transmissions. To this end, it is essential to regulate and optimise the traffic of information cooperatively conveyed by the sensors across the networks. The central theme of the study is the problem of distributed allocation of information flows (routing) in wireless sensor networks. We are concerned, in particular, with a class of problems falling into the convex optimisation framework. Focus is set on a family of iterative optimisation algorithms based on distributed implementations of the gradient projection method-an accepted optimisation technique known for its simplicity in principle and realisation. An accurate exploration of the global and asymptotic convergence properties is carried out for several variants of the method, with emphasis on the sequential or random implementations, for which synchronism between the sensors is not required. In a later part of the report, we address the optimisation of wireless sensor networks with time-varying properties, and consider this new problem within the stochastic optimisation framework. Our efforts are directed toward questioning the convergence, in time-varying environments, of some accepted optimisation methods for invariant networks, and more particularly of the distributed gradient projection algorithms studied in the earlier part of the report. 236 pp. Englisch. N� de r�f. du vendeur 9783737572026

Contacter le vendeur

Acheter neuf

EUR 19,95

Exp�dition �EUR 23
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Distributed Methods for Convex Optimisation : Application to Cooperative Wireless Sensor Networks. Dissertationsschrift

Olivier Bilenne

Edit� par Epubli, 2015

ISBN 10 : 373757202X ISBN 13 : 9783737572026

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - A main issue in wireless sensor networks is the efficient exploitation of the individual energy resources of the sensor nodes, which communicate with each other by means of energy-demanding wireless transmissions. To this end, it is essential to regulate and optimise the traffic of information cooperatively conveyed by the sensors across the networks. The central theme of the study is the problem of distributed allocation of information flows (routing) in wireless sensor networks. We are concerned, in particular, with a class of problems falling into the convex optimisation framework. Focus is set on a family of iterative optimisation algorithms based on distributed implementations of the gradient projection method-an accepted optimisation technique known for its simplicity in principle and realisation. An accurate exploration of the global and asymptotic convergence properties is carried out for several variants of the method, with emphasis on the sequential or random implementations, for which synchronism between the sensors is not required. In a later part of the report, we address the optimisation of wireless sensor networks with time-varying properties, and consider this new problem within the stochastic optimisation framework. Our efforts are directed toward questioning the convergence, in time-varying environments, of some accepted optimisation methods for invariant networks, and more particularly of the distributed gradient projection algorithms studied in the earlier part of the report. N� de r�f. du vendeur 9783737572026

Contacter le vendeur