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...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Discrete Dynamics in Nature and Society Ročník 2015; číslo 2015; s. 404 - 415-242
Hlavní autori: Hu, Jun, Ma, Lifeng, Wei, Guoliang, Wang, Zidong, Li, Wangyan, Ding, Derui
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cairo, Egypt Hindawi Limiteds 01.01.2015
Hindawi Publishing Corporation
John Wiley & Sons, Inc
Wiley
Predmet:
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
ISSN:1026-0226, 1607-887X
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1026-0226
1607-887X
DOI:10.1155/2015/683701