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.
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