Distributed Data Fusion for Network-Centric Operations (Hardcover)

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.

隨著服務導向架構（SOA）、雲端運算技術和分散互連系統的普及，分散融合在各種應用中扮演著更重要的角色，從環境監測和危機管理到智能建築和國防。《分散式數據融合與網絡中心化操作》匯集了世界各地領先專家的研究成果，探討了分散感知、通信和計算環境中數據融合的最新發展。

深入探討了設計和實施分散網絡中的數據融合，涵蓋了信息融合的方方面面，從信號和圖像處理，到估計和情境感知。特別是，本書及時關注了分散網絡企業中涉及融合的問題和解決方案，包括如何維護接收信息的代理或節點的譜系，提供其對數據集的貢獻，並傳遞給其他網絡組件等關鍵設計問題。本書還探討了網絡中心化企業內的動態數據共享、分散融合對狀態估計的影響、圖論方法優化融合性能、人工工程因素以及用於更高層次情境評估的計算機本體論。

作為這一新興領域及其挑戰的全面介紹，本書探討了數據融合如何應用於網格、分散和雲計算架構中。匯集了理論和應用研究的觀點，本書對於融合研究人員和從業人員來說是一本有價值的參考資料，為那些致力於設計和實施分散、去中心化信息融合的複雜問題提供了指導和見解。