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Mathematical Problems in Engineering
Volume 2014, Article ID 858624, 7 pages
http://dx.doi.org/10.1155/2014/858624
Review Article

A Survey on Distributed Filtering and Fault Detection for Sensor Networks

1College of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China
2Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, 47057 Duisburg, Germany
3School of Information Science and Technology, Donghua University, Shanghai 200051, China
4Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex UB8 3PH, UK
5Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin 150001, China

Received 22 September 2013; Accepted 19 October 2013; Published 2 January 2014

Academic Editor: Xiao He

Copyright © 2014 Hongli Dong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In recent years, theoretical and practical research on large-scale networked systems has gained an increasing attention from multiple disciplines including engineering, computer science, and mathematics. Lying in the core part of the area are the distributed estimation and fault detection problems that have recently been attracting growing research interests. In particular, an urgent need has arisen to understand the effects of distributed information structures on filtering and fault detection in sensor networks. In this paper, a bibliographical review is provided on distributed filtering and fault detection problems over sensor networks. The algorithms employed to study the distributed filtering and detection problems are categorised and then discussed. In addition, some recent advances on distributed detection problems for faulty sensors and fault events are also summarized in great detail. Finally, we conclude the paper by outlining future research challenges for distributed filtering and fault detection for sensor networks.