Items related to Nonlinear and Dynamic Average Consensus Algorithms:...
Nonlinear and Dynamic Average Consensus Algorithms: Distributed Averaging Methods in Wireless Sensor Networks - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
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.
"About this title" may belong to another edition of this title.
Search results for Nonlinear and Dynamic Average Consensus Algorithms:...
Seller Image
Nonlinear and Dynamic Average Consensus Algorithms
Published by
AV Akademikerverlag Feb 2015, 2015
ISBN 10: 3639466802
ISBN 13: 9783639466805
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783639466805
Seller Image
Nonlinear and Dynamic Average Consensus Algorithms
Print on DemandSeller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: 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. Seller Inventory # 4990753
Buy New
£ 24.59
£ 41.97 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Nonlinear and Dynamic Average Consensus Algorithms
Published by
AV Akademikerverlag Feb 2015, 2015
ISBN 10: 3639466802
ISBN 13: 9783639466805
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783639466805
Seller Image
Nonlinear and Dynamic Average Consensus Algorithms : Distributed Averaging Methods in Wireless Sensor Networks
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783639466805
Seller Image
Nonlinear and Dynamic Average Consensus Algorithms | Distributed Averaging Methods in Wireless Sensor Networks
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 105945252