Networked filtering and fusion in wireless sensor networks / Magdi S. Mahmoud, Yuanqing Xia.

By: Mahmoud, Magdi SMaterial type: TextTextPublisher: Boca Raton : CRC Press, Taylor & Francis, [2015]Description: xxvi, 550 pages : illustrations ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781482250961; 1482250969Subject(s): Multisensor data fusion | Information filtering systems | COMPUTERS -- Networking -- General | TECHNOLOGY & ENGINEERING -- Mobile & Wireless Communications | Information filtering systems | Multisensor data fusionDDC classification: 004.6 LOC classification: TK7872.D48 | M34 2015Other classification: COM043000 | TEC061000 Online resources: Cover image
Contents:
1. Introduction -- 2. Wireless sensor networks -- 3. Distributed sensor fusion -- 4. Distributed Kalman filtering -- 5. Expectation maximization -- 6. Wireless estimation methods -- 7. Multi-sensor fault estimation -- 8. Multi-sensor data fusion -- 9. Approximate distributed estimation -- 10. Estimation via information matrix -- 11. Filtering in sensor networks.
Summary: "Wireless sensor networks (WSNs) produce much data that needs to be processed, delivered, and assessed according to application objectives. Information fusion arises as a response to data gathered by sensor nodes and benefits from their processing capability. This book is about the current state of information fusion. It presents the known methods, algorithms, architectures, and models of information fusion, and discusses their applicability in the context of WSNs. Consideration is given to the range of topics treated in the current literature and presenting results of typical case studies"-- Provided by publisher.
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Item type Current library Call number Copy number Status Notes Date due Barcode
Books Books Female Library
TK7872.D48 .M34 2015 (Browse shelf (Opens below)) 1 Available STACKS 51952000315865
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TK7872.D48 .M34 2015 (Browse shelf (Opens below)) 1 Available STACKS 51952000315872

"Wireless sensor networks (WSNs) produce much data that needs to be processed, delivered, and assessed according to application objectives. Information fusion arises as a response to data gathered by sensor nodes and benefits from their processing capability. This book is about the current state of information fusion. It presents the known methods, algorithms, architectures, and models of information fusion, and discusses their applicability in the context of WSNs. Consideration is given to the range of topics treated in the current literature and presenting results of typical case studies"-- Provided by publisher.

Includes bibliographical references (pages 483-547) and index.

1. Introduction -- 2. Wireless sensor networks -- 3. Distributed sensor fusion -- 4. Distributed Kalman filtering -- 5. Expectation maximization -- 6. Wireless estimation methods -- 7. Multi-sensor fault estimation -- 8. Multi-sensor data fusion -- 9. Approximate distributed estimation -- 10. Estimation via information matrix -- 11. Filtering in sensor networks.

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