A Survey on Distributed Filtering and Fault Detection for Sensor Networks

Author:

Dong Hongli12ORCID,Wang Zidong34,Ding Steven X.2,Gao Huijun5ORCID

Affiliation:

1. College of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China

2. Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, 47057 Duisburg, Germany

3. School of Information Science and Technology, Donghua University, Shanghai 200051, China

4. Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex UB8 3PH, UK

5. Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin 150001, China

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.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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