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Discrete Dynamics in Nature and Society
Volume 2015 (2015), Article ID 683701, 12 pages
http://dx.doi.org/10.1155/2015/683701
Review Article

A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks

1Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
2Department of Computer Science, Brunel University London, Uxbridge, Middlesex UB8 3PH, UK
3Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
4School of Optical-Electrical and Computer Engineering, Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
5School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
6Department of Applied Mathematics, Harbin University of Science and Technology, Harbin 150080, China
7Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin 150001, China

Received 18 May 2015; Accepted 29 September 2015

Academic Editor: Luca Guerrini

Copyright © 2015 Wangyan Li 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

Multisensor fusion and consensus filtering are two fascinating subjects in the research of sensor networks. In this survey, we will cover both classic results and recent advances developed in these two topics. First, we recall some important results in the development of multisensor fusion technology. Particularly, we pay great attention to the fusion with unknown correlations, which ubiquitously exist in most of distributed filtering problems. Next, we give a systematic review on several widely used consensus filtering approaches. Furthermore, some latest progress on multisensor fusion and consensus filtering is also presented. Finally, conclusions are drawn and several potential future research directions are outlined.