Book description
With the recent proliferation of service-oriented architectures (SOA), cloud computing technologies, and distributed-interconnected systems, distributed fusion is taking on a larger role in a variety of applications—from environmental monitoring and crisis management to intelligent buildings and defense. Drawing on the work of leading experts around the world, Distributed Data Fusion for Network-Centric Operations examines the state of the art of data fusion in a distributed sensing, communications, and computing environment.
Get Insight into Designing and Implementing Data Fusion in a Distributed Network
Addressing the entirety of information fusion, the contributors cover everything from signal and image processing, through estimation, to situation awareness. In particular, the work offers a timely look at the issues and solutions involving fusion within a distributed network enterprise. These include critical design problems, such as how to maintain a pedigree of agents or nodes that receive information, provide their contribution to the dataset, and pass to other network components. The book also tackles dynamic data sharing within a network-centric enterprise, distributed fusion effects on state estimation, graph-theoretic methods to optimize fusion performance, human engineering factors, and computer ontologies for higher levels of situation assessment.
A comprehensive introduction to this emerging field and its challenges, the book explores how data fusion can be used within grid, distributed, and cloud computing architectures. Bringing together both theoretical and applied research perspectives, this is a valuable reference for fusion researchers and practitioners. It offers guidance and insight for those working on the complex issues of designing and implementing distributed, decentralized information fusion.
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Table of Contents
- Foreword
- Acknowledgment
- Editors
- Contributors
- Chapter 1 Perspectives on Distributed Data Fusion
- Chapter 2 Distributed Data Fusion: Overarching Design Concerns and Some New Approaches
- Chapter 3 Network-Centric Concepts: Impacts to Distributed Fusion System Design
- Chapter 4 Distributed Detection in Wireless Sensor Networks
- Chapter 5 Fundamentals of Distributed Estimation
- Chapter 6 Essence of Distributed Target Tracking: Track Fusion and Track Association
- Chapter 7 Decentralized Data Fusion: Formulation and Algorithms
- Chapter 8 Toward a Theoretical Foundation for Distributed Fusion
- Chapter 9 Object Classification in a Distributed Environment
- Chapter 10 A Framework for Distributed High-Level Fusion
- Chapter 11 Threat Analysis in Distributed Environments
- Chapter 12 Ontological Structures for Higher Levels of Distributed Fusion
- Chapter 13 Service-Oriented Architecture for Human-Centric Information Fusion
- Chapter 14 Nonmyopic Sensor Management
- Chapter 15 Test and Evaluation of Distributed Data and Information Fusion Systems and Processes
- Chapter 16 Human Engineering Factors in Distributed and Net-Centric Fusion Systems
- Chapter 17 Distributed Data and Information Fusion in Visual Sensor Networks
- Index
Product information
- Title: Distributed Data Fusion for Network-Centric Operations
- Author(s):
- Release date: December 2017
- Publisher(s): CRC Press
- ISBN: 9781351833059
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