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Distributed Data Fusion for Network-Centric Operations

  • Livre Relié
  • 498 Nombre de pages
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"Foreword I am very pleased to provide a foreword for this timely work on distributed fusion. I have been involved in fusion resea... Lire la suite
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"Foreword I am very pleased to provide a foreword for this timely work on distributed fusion. I have been involved in fusion research for the last 15 years, focused on transforming data to support more effective decision making. During that time, I have relied heavily on the advice of the editors of this book and many of the chapter authors to help set the directions for Army-focused basic and applied information fusion initiatives. I first met the editors about 12 years ago at an Army-sponsored fusion workshop where it was clear that the issues of increased sensors and data sources, along with the introduction of web-based information architectures, had finally overwhelmed the analysis community. Most of the discussions were focused on the problems. ButDave Hall and Jim Llinas began addressing the solutions. They identified relevant terms and definitions, outlined algorithms for specific fusion tasks, addressed many of the evolving architectural issues, pinpointed key technical barriers, and proposed directions for future research. They clearly were long-time experts in the field; but, more importantly, they were visionary in their recognition of rapidly evolving trends in information management and the impact those trends would have on the field of data fusion. It is, therefore, not at all surprising that this, their latest book (along with colleagues), would be focused on distributed fusion. While there are numerous texts and handbooks on data fusion in general (many written or edited by the editors and authors of this book), there are two major trends that motivate the need for this work. First, the very concept of defense operations has dramatically changed. Modern military missions include, for example, coalitionbased counterinsurgency, counternarcotics, ..."--

"... a collection of chapters from leading thinkers in this emerging field ... This book represents the best body of thinking on the emerging topic of distributed data fusion, including varied aspects of the problem itself and a multitude of approaches to address the stated challenges."Dale Walsh, The MITRE Corporation, Gainesville, Virginia, USA "This book addresses a very timely topicthe confluence of the emerging networked sensing and fusion, which leads to distributed data fusion of network-centric operations. ... The list of authors in this book reads like a 'Who's Who' in the field ... . Consequently, this book is very comprehensive and covers all the important topics needed by researchers in this area. Another attractive aspect of this book is that the list of authors includes theoreticians as well as practitioners of data fusion and network-centric systems. This provides the reader with the best of both worlds and some very unique perspectives."Raja Suresh, General Dynamics Advanced Information Systems, Vadnais Heights, Minnesota, USA "This book provides a comprehensive introduction and detailed design descriptions of the methods for distributing the data fusion functions within grid, distributed, and cloud computing architectures."Ed Waltz, BAE Systems, Chantilly, Virginia, USA "Written in a manner that particularly highlights topics of direct relevance to a Department of Defense reader ... As is typical for these editors, the chapters provide a well-organized, thorough review of the field from both a theoretical and applied research perspective. The book will most certainly serve as a useful tool for fusion researchers and practitioners alike as we continue to grapple with the critical issue of ensuring our data collection efforts have a clear and positive impact on mission outcome." From the Foreword by Barbara D. Broome, Chief, Information Sciences Division, U.S. Army Research Laboratory, Adelphi Laboratory Center, Maryland, USA

Dr. David L. Hall is the dean for The Pennsylvania State University College of Information Sciences and Technology (IST). He also serves as a professor of IST and director of the Center for Network Centric Cognition and Information Fusion (NC2IF). Dr. Hall has industrial experience and has lectured internationally on the topics of multisensor data fusion, artificial intelligence, and research management and technology forecasting. Dr. Chee-Yee Chong is a chief scientist at BAE Systems Technology Solutions. He has been involved in distributed fusion research for over 25 years, starting with the Distributed Sensor Networks (DSN) program for the U.S. Defense Advanced Research Projects Agency (DARPA) in the 1980s. Dr. Chong's research interests include centralized and distributed estimation, target tracking, information fusion, optimization and resource management, and application to real-world problems. Dr. James Llinas is a professor emeritus at the State University of New York at Buffalo. He createdthe Center for Multisource Information Fusion (CMIF) at the University at Buffalo, the only university research center conducting information fusion research in a systemic context, and is currently director emeritus of the Center. An expert on data fusion, he has lectured internationally on the subject for over 20 years, co-authored the first integrated text on information fusion, and has consulted extensively and internationally for many years. Martin E. Liggins II is an engineer with The MITRE Corporation. He has more than 20 years of research and development experience in industry and with the U.S. Department of Defense. He has performed fusion research in a number of areas, including sensor and data fusion, multisensor and multitarget tracking, radar, high-performance computing, and program management.

Texte du rabat

Examining the current and cutting-edge issues and solutions involving information fusion within a distributed network, this book highlights the ever-increasing role of distributed fusion in daily living due to the recent proliferation of service oriented architectures (SOA), cloud computing, and distributed inter-connected systems. It examines a wide range of disciplines, sources, and applications including micro- and nano-scale sensors, wireless communication, and ubiquitous computing; the assembly of information from sensors, models, and human input; and the resulting usage in environmental monitoring, crisis management, and medical diagnosis.

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 applicationsfrom 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.

Perspectives on Distributed Data FusionDavid L. HallDistributed Data Fusion: Overarching Design Concerns and Some New ApproachesDavid Nicholson, Steven Reece, Alex Rogers, Stephen Roberts, and Nick JenningsNetwork-Centric Concepts: Impacts to Distributed Fusion System DesignJames LlinasDistributed Detection in Wireless Sensor NetworksPramod K. Varshney, Engin Masazade, Priyadip Ray, and Ruixin NiuFundamentals of Distributed EstimationChee-Yee Chong, Kuo-Chu Chang, and Shozo MoriEssence of Distributed Target Tracking: Track Fusion and Track AssociationShozo Mori, Kuo-Chu Chang, and Chee-Yee ChongDecentralized Data Fusion: Formulation and AlgorithmsPaul Thompson, Eric Nettleton, and Hugh Durrant-WhyteToward a Theoretical Foundation for Distributed FusionRonald MahlerObject Classification in a Distributed EnvironmentJames Llinas and Chee-Yee ChongA Framework for Distributed High-Level FusionSubrata DasThreat Analysis in Distributed EnvironmentsHengameh Irandoust, Abder Benaskeur, Jean Roy, and Froduald KabanzaOntological Structures for Higher Levels of Distributed FusionMieczyslaw M. Kokar, Brian E. Ulicny, and Jakub J. MoskalService-Oriented Architecture for Human-Centric Information FusionJeff RimlandNonmyopic Sensor ManagementViswanath Avasarala and Tracy MullenTest and Evaluation of Distributed Data and Information Fusion Systems and ProcessesJames Llinas, Christopher Bowman, and Kedar SambhoosHuman Engineering Factors in Distributed and Net-Centric Fusion SystemsAnn Bisantz, Michael Jenkins, and Jonathan PfautzDistributed Data and Information Fusion in Visual Sensor NetworksFederico Castanedo, Juan Gomez-Romero, Miguel A. Patricio, Jesus Garcia, and Jose M. MolinaIndex

Informations sur le produit

Titre: Distributed Data Fusion for Network-Centric Operations
Code EAN: 9781439858301
ISBN: 978-1-4398-5830-1
Format: Livre Relié
Editeur: Taylor & Francis Inc
Genre: Electrotechnique
nombre de pages: 498
Poids: 812g
Taille: H239mm x B159mm x T28mm
Année: 2013