Distributed Data Fusion for Network-Centric Operations

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With the proliferation of service-oriented architectures, cloud computing, and distributed-interconnected systems, distributed fusion is taking on a larger role in a variety of applications from environmental monitoring to crisis management. Featuring contributions by leading experts around the world, this book offers insight on the state of the art of data fusion in distributed sensing, communications, and computing environments. Topics covered include signal and image processing, estimation, situation awareness, and more. Combining theoretical and applied research, it tackles critical challenges and solutions in this emerging field.


Zusatztext "... 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 topic-the 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 Informationen zum Autor 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 created the 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. Zusammenfassung With the recent proliferatio...

Autorentext

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 created the 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.


Klappentext

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.


Zusammenfassung

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…

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09781439858301
    • Genre Electrical Engineering
    • Editor Hall David, Chong Chee-Yee, Llinas James, Martin Liggins II
    • Sprache Englisch
    • Anzahl Seiten 498
    • Herausgeber CRC Press
    • Größe H234mm x B156mm
    • Jahr 2021
    • EAN 9781439858301
    • Format Fester Einband
    • ISBN 978-1-4398-5830-1
    • Veröffentlichung 05.07.2021
    • Titel Distributed Data Fusion for Network-Centric Operations
    • Autor David (Pennsylvania State University, Colleg Hall
    • Gewicht 820g

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