A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks

Joint Authors

Wei, Guoliang
Ding, Derui
Hu, Jun
Li, Wangyan
Ma, Lifeng
Wang, Zidong

Source

Discrete Dynamics in Nature and Society

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-10-22

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Mathematics

Abstract EN

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.

American Psychological Association (APA)

Li, Wangyan& Wang, Zidong& Wei, Guoliang& Ma, Lifeng& Hu, Jun& Ding, Derui. 2015. A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1060730

Modern Language Association (MLA)

Li, Wangyan…[et al.]. A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1060730

American Medical Association (AMA)

Li, Wangyan& Wang, Zidong& Wei, Guoliang& Ma, Lifeng& Hu, Jun& Ding, Derui. A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1060730

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1060730