Networked Filtering and Fusion in Wireless Sensor Networks (Hardcover)

By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor fusion as the method of choice for implementing distributed systems.

The book examines the state of the art in information fusion. It presents the known methods, algorithms, architectures, and models of information fusion and discusses their applicability in the context of wireless sensor networks (WSNs). Paying particular attention to the wide range of topics that have been covered in recent literature, the text presents the results of a number of typical case studies.

Complete with research supported elements and comprehensive references, this teaching-oriented volume uses standard scientific terminology, conventions, and notations throughout. It applies recently developed convex optimization theory and highly efficient algorithms in estimation fusion to open up discussion and provide researchers with an ideal starting point for further research on distributed estimation and fusion for WSNs.

The book supplies a cohesive overview of the key results of theory and applications of information-fusion-related problems in networked systems in a unified framework. Providing advanced mathematical treatment of fundamental problems with information fusion, it will help you broaden your understanding of prospective applications and how to address such problems in practice.

After reading the book, you will gain the understanding required to model parts of dynamic systems and use those models to develop distributed fusion control algorithms that are based on feedback control theory.

通過利用可用數據之間的協同作用，信息融合可以減少數據流量、過濾噪聲測量，並對被監測實體進行預測和推論。《無線傳感器網絡中的網絡過濾和融合》介紹了多傳感器融合作為實現分佈式系統的首選方法。

該書探討了信息融合的最新技術。它介紹了已知的信息融合方法、算法、架構和模型，並討論了它們在無線傳感器網絡（WSN）上的應用性。特別關注最近文獻中涵蓋的各種主題，本書呈現了一些典型案例研究的結果。

本書具有研究支持的元素和全面的參考資料，並在整個過程中使用標準科學術語、慣例和符號。它應用了最近發展的凸優化理論和高效算法在估計融合中，以展開討論，並為WSN的分佈式估計和融合研究提供研究人員理想的起點。

本書以統一的框架提供了網絡系統中與信息融合相關問題的關鍵結果的一致概述。它提供了對信息融合基本問題的高級數學處理，將幫助您擴大對潛在應用的理解，以及如何在實踐中解決這些問題。

閱讀本書後，您將獲得建模動態系統部分並使用這些模型開發基於反饋控制理論的分佈式融合控制算法所需的理解。