作者: David Hall , Chee-Yee Chong , James Llinas , Martin Liggins II , None
DOI: 10.1201/B10124
关键词: Applied research 、 Variety (cybernetics) 、 Management science 、 Situation awareness 、 Dynamic data 、 Distributed algorithm 、 Situation analysis 、 Data science 、 Sensor fusion 、 Cloud computing 、 Engineering
摘要: 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 variety applicationsfrom environmental monitoring crisis management to intelligent buildings defense. Drawing work leading experts around world, Distributed Data Fusion for Network-Centric Operations examines state art data sensing, communications, environment. Get Insight into Designing Implementing Network Addressing entirety information fusion, contributors cover everything from signal image processing, through estimation, situation awareness. In particular, offers timely look at issues solutions involving within network enterprise. These include critical design problems, such as how maintain pedigree agents or nodes that receive information, provide their contribution dataset, pass other components. The book also tackles dynamic sharing network-centric enterprise, effects graph-theoretic methods optimize performance, human engineering factors, computer ontologies higher levels assessment. A comprehensive introduction this emerging field its challenges, explores can be used grid, distributed, architectures. Bringing together both theoretical applied research perspectives, valuable reference researchers practitioners. It guidance insight those working complex designing implementing decentralized fusion.