Data Fusion in Wireless Sensor Networks A Statistical Signal Processing Perspective – Control, Robotics and Sensors
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ISBN: 9781785615849
Author/Editor: Domenico Ciuonzo
Publisher: IET
Year: 2019
1 in stock (can be backordered)
Description
The role of data fusion has been expanding in recent years through the incorporation of pervasive applications, where the physical infrastructure is coupled with information and communication technologies, such as wireless sensor networks for the internet of things (IoT), e-health and Industry 4.0. In this edited reference, the authors provide advanced tools for the design, analysis and implementation of inference algorithms in wireless sensor networks.
The book is directed at the sensing, signal processing, and ICTs research communities. The contents will be of particular use to researchers (from academia and industry) and practitioners working in wireless sensor networks, IoT, E-health and Industry 4.0 applications who wish to understand the basics of inference problems. It will also be of interest to professionals, and graduate and PhD students who wish to understand the fundamental concepts of inference algorithms based on intelligent and energy-efficient protocols.
Additional information
| Weight | 0.68 kg |
|---|
Product Properties
| Year of Publication | 2019 |
|---|---|
| Table of Contents | Part I: Sensing model uncertainty Chapter 1: Generalized score-tests for decision fusion with sensing model uncertainty Chapter 2: Compressed distributed detection and estimation Chapter 3: Heterogeneous sensor data fusion by deep learning Part II: Reporting channel uncertainty Chapter 4: Energy-efficient clustering and collision-aware distributed detection/estimation in random-access-based WSNs Chapter 5: Channel-aware decision fusion in MIMO wireless sensor networks Chapter 6: Channel-aware detection and estimation in the massive MIMO regime Part III: Distributed inference over graphs Chapter 7: Decentralized detection via running consensus Chapter 8: Distributed recursive testing of composite hypothesis in multi-agent networks Chapter 9: Expectation-maximisation based distributed estimation in sensor networks Part IV: Cross-layer issues Chapter 10: Distributed estimation in energy harvesting wireless sensor networks Chapter 11: Secure estimation in wireless sensor networks in the presence of an eavesdropper Chapter 12: Robust fusion of unreliable data sources using error-correcting output codes Chapter 13: Conclusions and future perspectives |
| Author | Domenico Ciuonzo |
| ISBN/ISSN | 9781785615849 |
| Binding | Hardback |
| Edition | 1 |
| Publisher | IET |
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