A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks

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 technolog...

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Published inDiscrete Dynamics in Nature and Society Vol. 2015; no. 2015; pp. 404 - 415-242
Main Authors Hu, Jun, Ma, Lifeng, Wei, Guoliang, Wang, Zidong, Li, Wangyan, Ding, Derui
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Limiteds 01.01.2015
Hindawi Publishing Corporation
John Wiley & Sons, Inc
Wiley
Subjects
Algorithms
Automation
Colleges & universities
Computer engineering
Correlation
Filtering
Filtration
Kalman filters
Literature reviews
Mathematical models
Multisensor fusion
Networks
Recall
Remote sensing
Science
Sensors
Target recognition
Technology application
Wireless networks
Wireless sensor networks
Online AccessGet full text
ISSN1026-0226
1607-887X
DOI10.1155/2015/683701

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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.
AbstractList 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.
Audience Academic
Author Hu, Jun
Ding, Derui
Li, Wangyan
Wei, Guoliang
Ma, Lifeng
Wang, Zidong
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  fullname: Ding, Derui
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ContentType Journal Article
Copyright Copyright © 2015 Wangyan Li et al.
COPYRIGHT 2015 John Wiley & Sons, Inc.
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.
Copyright_xml – notice: Copyright © 2015 Wangyan Li et al.
– notice: COPYRIGHT 2015 John Wiley & Sons, Inc.
– notice: 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.
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(93) 2015; 60
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Reinhardt M. Noack B. Hanebeck U. D. Closed-form optimization of covariance intersection for low-dimensional matrices Proceedings of the 15th International Conference on Information Fusion (FUSION '12) September 2012 Singapore 1891 1896 2-s2.0-84867628205
(114) 2015; 60
(85) 2011; 47
(69) 2010; 55
(75) 2012; 92
(39) 2014; 59
(41) 2014; 61
88
45
89
(30) 1986; aes-22
47
49
110
111
112
113
114
115
90
91
92
93
96
(48) 2001
53
97
10
54
98
11
55
99
12
56
13
57
14
58
15
(25) 2001
1
2
3
4
7
8
9
60
64
21
65
22
66
23
67
24
68
69
26
28
29
(27) 1982; 27
70
72
73
74
75
32
76
33
77
34
35
79
36
37
39
100
101
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103
104
105
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40
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87
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Snippet Multisensor fusion and consensus filtering are two fascinating subjects in the research of sensor networks. In this survey, we will cover both classic results...
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SubjectTerms Algorithms
Automation
Colleges & universities
Computer engineering
Correlation
Filtering
Filtration
Kalman filters
Literature reviews
Mathematical models
Multisensor fusion
Networks
Recall
Remote sensing
Science
Sensors
Target recognition
Technology application
Wireless networks
Wireless sensor networks
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Title A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks
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