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Nonlinear and Dynamic Average Consensus Algorithms

Raman Jafroudi

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ISBN 10: 3639466802 / ISBN 13: 9783639466805
Published by AV Akademikerverlag
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108 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783639466805

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Bibliographic Details

Title: Nonlinear and Dynamic Average Consensus ...

Publisher: AV Akademikerverlag

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

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.

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.

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