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An Approach to Dynamic Sensing Data Fusion

For the research and development of sensor systems, the collection and fusion of sensing data is the core. In order to make sensor data acquisition change with the change in environment, a dynamic data acquisition and fusion method based on feedback control is proposed in this paper. According to th...

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Detalles Bibliográficos
Autores principales: Yin, Yunfei, Guan, Liufa, Zheng, Chengen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749470/
https://www.ncbi.nlm.nih.gov/pubmed/31450794
http://dx.doi.org/10.3390/s19173668
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author Yin, Yunfei
Guan, Liufa
Zheng, Chengen
author_facet Yin, Yunfei
Guan, Liufa
Zheng, Chengen
author_sort Yin, Yunfei
collection PubMed
description For the research and development of sensor systems, the collection and fusion of sensing data is the core. In order to make sensor data acquisition change with the change in environment, a dynamic data acquisition and fusion method based on feedback control is proposed in this paper. According to the sensing data acquisition and fusion model, the optimal acquisition of sensor data is achieved through real-time dynamic judgment of the collected data, decision-making of the next acquisition time interval, and adjustment. This model enables the sensor system to adapt to different environments. An experimental study of the proposed model was carried out on an experimental platform, and the results show that the proposed model can not only reflect the change in sensing data but also improve the transmission efficiency.
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spelling pubmed-67494702019-09-27 An Approach to Dynamic Sensing Data Fusion Yin, Yunfei Guan, Liufa Zheng, Chengen Sensors (Basel) Article For the research and development of sensor systems, the collection and fusion of sensing data is the core. In order to make sensor data acquisition change with the change in environment, a dynamic data acquisition and fusion method based on feedback control is proposed in this paper. According to the sensing data acquisition and fusion model, the optimal acquisition of sensor data is achieved through real-time dynamic judgment of the collected data, decision-making of the next acquisition time interval, and adjustment. This model enables the sensor system to adapt to different environments. An experimental study of the proposed model was carried out on an experimental platform, and the results show that the proposed model can not only reflect the change in sensing data but also improve the transmission efficiency. MDPI 2019-08-23 /pmc/articles/PMC6749470/ /pubmed/31450794 http://dx.doi.org/10.3390/s19173668 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yin, Yunfei
Guan, Liufa
Zheng, Chengen
An Approach to Dynamic Sensing Data Fusion
title An Approach to Dynamic Sensing Data Fusion
title_full An Approach to Dynamic Sensing Data Fusion
title_fullStr An Approach to Dynamic Sensing Data Fusion
title_full_unstemmed An Approach to Dynamic Sensing Data Fusion
title_short An Approach to Dynamic Sensing Data Fusion
title_sort approach to dynamic sensing data fusion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749470/
https://www.ncbi.nlm.nih.gov/pubmed/31450794
http://dx.doi.org/10.3390/s19173668
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