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Distributed Fusion Estimation for Sensor Networks with Communication Constraints [electronic resource] / by Wen-An Zhang, Bo Chen, Haiyu Song, Li Yu.

By: Zhang, Wen-An [author.].
Contributor(s): Chen, Bo [author.] | Song, Haiyu [author.] | Yu, Li [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Singapore : Springer Singapore : Imprint: Springer, 2016Description: XII, 210 p. 96 illus., 38 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811007958.Subject(s): Engineering | Computer communication systems | Control engineering | Electrical engineering | Engineering | Control | Signal, Image and Speech Processing | Communications Engineering, Networks | Computer Communication NetworksAdditional physical formats: Printed edition:: No titleDDC classification: 629.8 Online resources: Click here to access online
Contents:
Introduction -- Multi-Rate Kalman Fusion Estimation for WSNs -- Kalman Fusion Estimation for WSNs with Non-Uniform Estimation Rates -- H1 Fusion Estimation for WSNs with Non-Uniform Sampling Rates -- Fusion Estimation for WSNs Using Dimension Reduction Method -- H1 Fusion Estimation for WSNs with Quantization -- Hierarchical Asynchronous Fusion Estimation for WSNs -- Fusion Estimation for WSNs with Delayed Measurements -- Fusion Estimation for WSNs with Delays and Packet Losses.
In: Springer eBooksSummary: This book systematically presents energy-efficient robust fusion estimation methods to achieve thorough and comprehensive results in the context of network-based fusion estimation. It summarizes recent findings on fusion estimation with communication constraints; several novel energy-efficient and robust design methods for dealing with energy constraints and network-induced uncertainties are presented, such as delays, packet losses, and asynchronous information... All the results are presented as algorithms, which are convenient for practical applications.
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Introduction -- Multi-Rate Kalman Fusion Estimation for WSNs -- Kalman Fusion Estimation for WSNs with Non-Uniform Estimation Rates -- H1 Fusion Estimation for WSNs with Non-Uniform Sampling Rates -- Fusion Estimation for WSNs Using Dimension Reduction Method -- H1 Fusion Estimation for WSNs with Quantization -- Hierarchical Asynchronous Fusion Estimation for WSNs -- Fusion Estimation for WSNs with Delayed Measurements -- Fusion Estimation for WSNs with Delays and Packet Losses.

This book systematically presents energy-efficient robust fusion estimation methods to achieve thorough and comprehensive results in the context of network-based fusion estimation. It summarizes recent findings on fusion estimation with communication constraints; several novel energy-efficient and robust design methods for dealing with energy constraints and network-induced uncertainties are presented, such as delays, packet losses, and asynchronous information... All the results are presented as algorithms, which are convenient for practical applications.

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