Networked filtering and fusion in wireless sensor networks. (2014)

• Record Type: Book
• Further Information: Note: Magdi S. Mahmoud, Yuanqing Xia.
• Authors: Mahmoud, Magdi S; Xia, Yuanqing
• Contents: Introduction; Overview; Fundamental Terms; Some Limitations; Information Fusion in Wireless Sensor Network; Classifying Information Fusion; Classification based on relationship among the sources; Classification based on levels of abstraction; Classification based on input and output; Outline of the Book; Methodology Chapter organization; Notes; Proposed Topics; ; Wireless Sensor Networks; Some Definitions; Common Characteristics; Required Mechanisms; Related Ingredients; Key issues Types of sensor networks Main advantages; Sensor Networks Applications; Military applications; Environmental applications Health applications Application trends Hardware constraints; Routing Protocols System architecture and design issues; Flooding and gossiping; Sensor protocols for information via negotiation; Directed diffusion Geographic and energy-aware routing Gradient-based routing; Constrained anisotropic diffusion routing; Active query forwarding; Low-energy adaptive clustering hierarchy; Power-efficient gathering Adaptive threshold sensitive energy efficient network; Minimum energy communication network Geographic adaptive fidelity; Sensor Selection Schemes Sensor selection problem; Coverage schemes Target tracking and localization schemes Single mission assignment schemes Multiple mission assignment schemes; Quality of Service Management QoS requirements Challenges; Wireless Sensor Network Security; Obstacles of sensor security Security requirements; Notes; Proposed Topics; ; Distributed Sensor Fusion; Assessment of Distributed State Estimation; Introduction Consensus-based distributed Kalman filter Simulation example 1; Distributed Sensor Fusion Introduction Consensus problems in networked systems Consensus filters Simulation example 2; Simulation example 3; Some observations; Estimation for Adaptive Sensor Selection Introduction; Distributed estimation in dynamic systems; Convergence properties; Sensor selection for target tracking Selection of best active set Global node selection Spatial split; Computational complexity; Number of active sensors Simulation results; Multi-Sensor Management; Primary purpose Role in information fusion; Architecture classes Hybrid and hierarchical architectures; Classification of related problems; Notes; Proposed Topics; ; Distributed Kalman Filtering; Introduction; Distributed Kalman Filtering Methods Different methods; Pattern of applications Diffusion-based filtering; Multi-sensor data fusion systems; Distributed particle filtering; Self-tuning based filtering; Information Flow; Micro-Kalman filters; Frequency-type consensus filters; Simulation example 1; Simulation example 2; Consensus Algorithms in Sensor Networked Systems; Basics of graph theory; Consensus algorithms; Simulation example 3; Simulation example 4; Application of Kalman Filter Estimation; Preliminaries 802.11 distributed coordination function; Estimating the Competing Stations; ARMA filter estimation Extended Kalman filter estimation; Discrete state model; Extended Kalman filter; Selection of state noise statistics Change detection Performance evaluation; Notes; Proposed Topics; ; Expectation Maximization; General Considerations; Data-Fusion Fault Diagnostics Scheme Modeling with sensor and actuator faults Actuator faults Sensor faults; The Expected maximization algorithm Initial system estimation Computing the input moments; Fault Isolation System description Fault model for rotational hydraulic drive Fault scenarios; EM Algorithm Implementation; Leakage fault; Controller fault; Notes; Proposed Topics; ; Wireless Estimation Methods; Partitioned Kalman Filters; Introduction Centralized Kalman filter Parallel information filter; Decentralized information filter; Hierarchical Kalman filter; Distributed Kalman filter with weighted averaging; Distributed consensus Kalman filter; Distributed Kalman filter with bipartite fusion graphs; Simulation example A; Wireles
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2014
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 004.6; Multisensor data fusion; Information filtering systems
• Languages: English
• ISBNs: 9781482250978
• Related ISBNs: 9781482250961
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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