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Nonlinear and Dynamic Average Consensus Algorithms: Distributed Averaging Methods in Wireless Sensor Networks - Brossura
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This book deals with distributed averaging methods in wireless sensor networks. To this end, wireless sensor nodes are equipped with dedicated sensing, computing, and communication devices. Our goal is to calculate the average of measurements through the average consensus (AC). To provide the reader with the necessary prerequisites, we summarize graph theory and different network topologies in the first part of this book. We then discuss static and dynamic variants of the AC algorithm. The static algorithm is used if all sensors measure constant signals that do not change over time. In the case where the sensors measure time-varying signals, the dynamic algorithm is used. For both the static and the dynamic case, we consider different linear and nonlinear AC weight design methods to improve performance in transient and stationary scenarios. We further study the behavior of the various versions of AC in different network topologies and different simulation settings. Our numerical results suggest that nonlinear AC is superior to linear AC and that dynamic AC succeeds in tracking rapidly varying signal means.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
Raman Jafroudi has earned a bachelor's degree in Electrical Engineering and Information Technology and a master's degree in Telecommunications at the Vienna University of Technology (TU Vienna). Currently, he is working in IT sector in Vienna, Austria.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Nonlinear and Dynamic Average Consensus Algorithms
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AV Akademikerverlag Feb 2015, 2015
ISBN 10: 3639466802
ISBN 13: 9783639466805
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with distributed averaging methods in wireless sensor networks. To this end, wireless sensor nodes are equipped with dedicated sensing, computing, and communication devices. Our goal is to calculate the average of measurements through the average consensus (AC). To provide the reader with the necessary prerequisites, we summarize graph theory and different network topologies in the first part of this book. We then discuss static and dynamic variants of the AC algorithm. The static algorithm is used if all sensors measure constant signals that do not change over time. In the case where the sensors measure time-varying signals, the dynamic algorithm is used. For both the static and the dynamic case, we consider different linear and nonlinear AC weight design methods to improve performance in transient and stationary scenarios. We further study the behavior of the various versions of AC in different network topologies and different simulation settings. Our numerical results suggest that nonlinear AC is superior to linear AC and that dynamic AC succeeds in tracking rapidly varying signal means. 108 pp. Englisch. Codice articolo 9783639466805
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Nonlinear and Dynamic Average Consensus Algorithms
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jafroudi RamanRaman Jafroudi has earned a bachelor s degree in Electrical Engineering and Information Technology and a master s degree in Telecommunications at the Vienna University of Technology (TU Vienna). Currently, he is working. Codice articolo 4990753
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Nonlinear and Dynamic Average Consensus Algorithms
Editore:
AV Akademikerverlag Feb 2015, 2015
ISBN 10: 3639466802
ISBN 13: 9783639466805
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book deals with distributed averaging methods in wireless sensor networks. To this end, wireless sensor nodes are equipped with dedicated sensing, computing, and communication devices. Our goal is to calculate the average of measurements through the average consensus (AC). To provide the reader with the necessary prerequisites, we summarize graph theory and different network topologies in the first part of this book. We then discuss static and dynamic variants of the AC algorithm. The static algorithm is used if all sensors measure constant signals that do not change over time. In the case where the sensors measure time-varying signals, the dynamic algorithm is used. For both the static and the dynamic case, we consider different linear and nonlinear AC weight design methods to improve performance in transient and stationary scenarios. We further study the behavior of the various versions of AC in different network topologies and different simulation settings. Our numerical results suggest that nonlinear AC is superior to linear AC and that dynamic AC succeeds in tracking rapidly varying signal means.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Codice articolo 9783639466805
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Nonlinear and Dynamic Average Consensus Algorithms : Distributed Averaging Methods in Wireless Sensor Networks
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals with distributed averaging methods in wireless sensor networks. To this end, wireless sensor nodes are equipped with dedicated sensing, computing, and communication devices. Our goal is to calculate the average of measurements through the average consensus (AC). To provide the reader with the necessary prerequisites, we summarize graph theory and different network topologies in the first part of this book. We then discuss static and dynamic variants of the AC algorithm. The static algorithm is used if all sensors measure constant signals that do not change over time. In the case where the sensors measure time-varying signals, the dynamic algorithm is used. For both the static and the dynamic case, we consider different linear and nonlinear AC weight design methods to improve performance in transient and stationary scenarios. We further study the behavior of the various versions of AC in different network topologies and different simulation settings. Our numerical results suggest that nonlinear AC is superior to linear AC and that dynamic AC succeeds in tracking rapidly varying signal means. Codice articolo 9783639466805
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Nonlinear and Dynamic Average Consensus Algorithms | Distributed Averaging Methods in Wireless Sensor Networks
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Taschenbuch. Condizione: Neu. Nonlinear and Dynamic Average Consensus Algorithms | Distributed Averaging Methods in Wireless Sensor Networks | Raman Jafroudi | Taschenbuch | 108 S. | Englisch | 2015 | AV Akademikerverlag | EAN 9783639466805 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 105945252
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