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Wireless Sensor Networks : Distributed Consensus Estimation / by Cailian Chen, Shanying Zhu, Xinping Guan, Xuemin (Sherman) Shen.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Chen, Cailian, author.
Zhu, Shanying, author.
Guan, Xinping, author.
Shen, X. (Xuemin), 1958- author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
SpringerBriefs in computer science 2191-5768
SpringerBriefs in Computer Science, 2191-5768
Language:
English
Subjects (All):
Application software.
Computer networks.
Information Systems Applications (incl. Internet).
Computer Communication Networks.
Local Subjects:
Information Systems Applications (incl. Internet).
Computer Communication Networks.
Physical Description:
1 online resource (IX, 89 pages) : 19 illustrations.
Edition:
First edition 2014.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2014.
System Details:
text file PDF
Summary:
This SpringerBrief evaluates the cooperative effort of sensor nodes to accomplish high-level tasks with sensing, data processing and communication. The metrics of network-wide convergence, unbiasedness, consistency and optimality are discussed through network topology, distributed estimation algorithms and consensus strategy. Systematic analysis reveals that proper deployment of sensor nodes and a small number of low-cost relays (without sensing function) can speed up the information fusion and thus improve the estimation capability of wireless sensor networks (WSNs). This brief also investigates the spatial distribution of sensor nodes and basic scalable estimation algorithms, the consensus-based estimation capability for a class of relay assisted sensor networks with asymmetric communication topology, and the problem of filter design for mobile target tracking over WSNs. From the system perspective, the network topology is closely related to the capability and efficiency of network-wide scalable distributed estimation. Wireless Sensor Networks: Distributed Consensus Estimation is a valuable resource for researchers and professionals working in wireless communications, networks and distributed computing. Advanced-level students studying computer science and electrical engineering will also find the content helpful.
Contents:
Introduction
Distributed Consensus Estimation of Wireless Sensor Networks
Consensus Based Distributed Parameter Estimation with Asymmetric Communications
Consensus Based Optimal Target Tracking in Relay Assisted Wireless Sensor Networks
Node Deployment for Distributed Consensus Estimation
Conclusions and Future Work.
Other Format:
Printed edition:
ISBN:
978-3-319-12379-0
9783319123790
Access Restriction:
Restricted for use by site license.

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