Contents

Foreword

Acknowledgment

Editors

Contributors

Chapter 1    Perspectives on Distributed Data Fusion

David L. Hall

Chapter 2    Distributed Data Fusion: Overarching Design Concerns and Some New Approaches

David Nicholson, Steven Reece, Alex Rogers, Stephen Roberts, and Nick Jennings

Chapter 3    Network-Centric Concepts: Impacts to Distributed Fusion System Design

James Llinas

Chapter 4    Distributed Detection in Wireless Sensor Networks

Pramod K. Varshney, Engin Masazade, Priyadip Ray, and Ruixin Niu

Chapter 5    Fundamentals of Distributed Estimation

Chee-Yee Chong, Kuo-Chu Chang, and Shozo Mori

Chapter 6    Essence of Distributed Target Tracking: Track Fusion and Track Association

Shozo Mori, Kuo-Chu Chang, and Chee-Yee Chong

Chapter 7    Decentralized Data Fusion: Formulation and Algorithms

Paul Thompson, Eric Nettleton, and Hugh Durrant-Whyte

Chapter 8    Toward a Theoretical Foundation for Distributed Fusion

Ronald Mahler

Chapter 9    Object Classification in a Distributed Environment

James Llinas and Chee-Yee Chong

Chapter 10  A Framework for Distributed High-Level Fusion

Subrata Das

Chapter 11  Threat Analysis in Distributed Environments

Hengameh Irandoust, Abder Benaskeur, Jean Roy, and Froduald Kabanza

Chapter 12  Ontological Structures for Higher Levels of Distributed Fusion

Mieczyslaw M. Kokar, Brian E. Ulicny, and Jakub J. Moskal

Chapter 13  Service-Oriented Architecture for Human-Centric Information Fusion

Jeff Rimland

Chapter 14  Nonmyopic Sensor Management

Viswanath Avasarala and Tracy Mullen

Chapter 15  Test and Evaluation of Distributed Data and Information Fusion Systems and Processes

James Llinas, Christopher Bowman, and Kedar Sambhoos

Chapter 16  Human Engineering Factors in Distributed and Net-Centric Fusion Systems

Ann Bisantz, Michael Jenkins, and Jonathan Pfautz

Chapter 17  Distributed Data and Information Fusion in Visual Sensor Networks

Federico Castanedo, Juan Gomez-Romero, Miguel A. Patricio, Jesus Garcia, and Jose M. Molina

Index

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