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
Perspectives on Distributed Data Fusion
David L. Hall
Distributed Data Fusion: Overarching Design Concerns and Some New Approaches
David Nicholson, Steven Reece, Alex Rogers, Stephen Roberts, and Nick Jennings
Network-Centric Concepts: Impacts to Distributed Fusion System Design
James Llinas
Distributed Detection in Wireless Sensor Networks
Pramod K. Varshney, Engin Masazade, Priyadip Ray, and Ruixin Niu
Fundamentals of Distributed Estimation
Chee-Yee Chong, Kuo-Chu Chang, and Shozo Mori
Essence of Distributed Target Tracking: Track Fusion and Track Association
Shozo Mori, Kuo-Chu Chang, and Chee-Yee Chong
Decentralized Data Fusion: Formulation and Algorithms
Paul Thompson, Eric Nettleton, and Hugh Durrant-Whyte
Toward a Theoretical Foundation for Distributed Fusion
Ronald Mahler
Object Classification in a Distributed Environment
James Llinas and Chee-Yee Chong
A Framework for Distributed High-Level Fusion
Subrata Das
Threat Analysis in Distributed Environments
Hengameh Irandoust, Abder Benaskeur, Jean Roy, and Froduald Kabanza
Ontological Structures for Higher Levels of Distributed Fusion
Mieczyslaw M. Kokar, Brian E. Ulicny, and Jakub J. Moskal
Service-Oriented Architecture for Human-Centric Information Fusion
Jeff Rimland
Nonmyopic Sensor Management
Viswanath Avasarala and Tracy Mullen
Test and Evaluation of Distributed Data and Information Fusion Systems and Processes
James Llinas, Christopher Bowman, and Kedar Sambhoos
Human Engineering Factors in Distributed and Net-Centric Fusion Systems
Ann Bisantz, Michael Jenkins, and Jonathan Pfautz
Distributed Data and Information Fusion in Visual Sensor Networks
Federico Castanedo, Juan Gomez-Romero, Miguel A. Patricio, Jesus Garcia, and Jose M. Molina
Index
