
Distributed Fusion Estimation for Sensor Networks with Communication Constraints
Springer (Publisher)
Published on 6. June 2016
Book
Hardback
XII, 210 pages
978-981-10-0793-4 (ISBN)
Description
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.
More details
Edition
1st ed. 2016
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Illustrations
58 s/w Abbildungen, 38 farbige Abbildungen
XII, 210 p. 96 illus., 38 illus. in color.
Dimensions
Height: 241 mm
Width: 159 mm
Thickness: 17 mm
Weight
518 gr
ISBN-13
978-981-10-0793-4 (9789811007934)
DOI
10.1007/978-981-10-0795-8
Schweitzer Classification
Other editions
Additional editions

Wen-An Zhang | Bo Chen | Haiyu Song
Distributed Fusion Estimation for Sensor Networks with Communication Constraints
Book
09/2018
Springer
€106.99
Shipment within 15-20 days

Wen-An Zhang | Bo Chen | Haiyu Song
Distributed Fusion Estimation for Sensor Networks with Communication Constraints
E-Book
05/2016
Springer
€96.29
Available for download
Content
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.