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.

chapter 1|16 pages

Perspectives on Distributed Data Fusion

ByDavid L. Hall

chapter 2|29 pages

Distributed Data Fusion

Overarching Design Concerns and Some New Approaches
ByDavid Nicholson, Steven Reece, Alex Rogers, Stephen Roberts, Nick Jennings

chapter 3|18 pages

Network-Centric Concepts

Impacts to Distributed Fusion System Design
ByJames Llinas

chapter 4|30 pages

Distributed Detection in Wireless Sensor Networks

ByPramod K. Varshney, Engin Masazade, Priyadip Ray, Ruixin Niu

chapter 5|30 pages

Fundamentals of Distributed Estimation

ByChee-Yee Chong, Kuo-Chu Chang, Shozo Mori

chapter 6|36 pages

Essence of Distributed Target Tracking

Track Fusion and Track Association
Edited ByShozo Mori, Kuo-Chu Chang, Chee-Yee Chong

chapter 7|37 pages

Decentralized Data Fusion

Formulation and Algorithms
Edited ByPaul Thompson, Eric Nettleton, Hugh Durrant-Whyte

chapter 8|46 pages

Toward a Theoretical Foundation for Distributed Fusion

ByRonald Mahler

chapter 9|26 pages

Nonmyopic Sensor Management

Edited ByJames Llinas, Chee-Yee Chong

chapter 10|24 pages

A Framework for Distributed

Edited BySubrata Das

chapter 11|32 pages

Threat Analysis in Distributed Environments

Edited ByHengameh Irandoust, Abder Benaskeur, Jean Roy, Froduald Kabanza

chapter 12|19 pages

Ontological Structures for Higher Levels of Distributed Fusion

Edited ByMieczyslaw M. Kokar, Brian E. Ulicny, Jakub J. Moskal

chapter 13|17 pages

Service-Oriented Architecture for Human-Centric Information Fusion

Edited ByJeff Rimland

chapter 14|14 pages

Nonmyopic Sensor Management

Edited ByViswanath Avasarala, Tracy Mullen

chapter 15|29 pages

Test and Evaluation of Distributed Data and Information Fusion Systems and Processes

Edited ByJames Llinas, Christopher Bowman, Kedar Sambhoos

chapter 16|26 pages

Human Engineering Factors in Distributed and Net-Centric Fusion Systems

Edited ByAnn Bisantz, Michael Jenkins, Jonathan Pfautz

chapter 17|31 pages

Distributed Data and Information Fusion in Visual Sensor Networks

Edited ByFederico Castanedo, Juan Gomez-Romero, Miguel A. Patricio, Jesus Garcia, Jose M. Molina