Distributed Fusion Estimation for Sensor Networks with Communication Constraints

Buch | Hardcover
210 Seiten
2016 | 1st ed. 2016
Springer Verlag, Singapore
978-981-10-0793-4 (ISBN)

Lese- und Medienproben

Distributed Fusion Estimation for Sensor Networks with Communication Constraints - Wen-An Zhang, Bo Chen, Haiyu Song, Li Yu
106,99 inkl. MwSt
Thisbook systematically presents energy-efficient robust fusion estimation methodsto achieve thorough and comprehensive results in the context of network-basedfusion estimation.
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.

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.

Erscheinungsdatum
Zusatzinfo 38 Illustrations, color; 58 Illustrations, black and white; XII, 210 p. 96 illus., 38 illus. in color.
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Netzwerke
Mathematik / Informatik Informatik Theorie / Studium
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Schlagworte Communication constraints • Information Fusion • Kalman Filtering • Optimal Estimation • sensor networks
ISBN-10 981-10-0793-4 / 9811007934
ISBN-13 978-981-10-0793-4 / 9789811007934
Zustand Neuware
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