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Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation
This paper is concerned with networked estimation, where sensor data are transmitted over a network of limited transmission rate. The transmission rate depends on the sampling periods and the quantization bit lengths. To investigate how the sampling periods and the quantization bit lengths affect th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231148/ https://www.ncbi.nlm.nih.gov/pubmed/22163557 http://dx.doi.org/10.3390/s100706406 |
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author | Suh, Young Soo Ro, Young Sik Kang, Hee Jun |
author_facet | Suh, Young Soo Ro, Young Sik Kang, Hee Jun |
author_sort | Suh, Young Soo |
collection | PubMed |
description | This paper is concerned with networked estimation, where sensor data are transmitted over a network of limited transmission rate. The transmission rate depends on the sampling periods and the quantization bit lengths. To investigate how the sampling periods and the quantization bit lengths affect the estimation performance, an equation to compute the estimation performance is provided. An algorithm is proposed to find sampling periods and quantization bit lengths combination, which gives good estimation performance while satisfying the transmission rate constraint. Through the numerical example, the proposed algorithm is verified. |
format | Online Article Text |
id | pubmed-3231148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32311482011-12-07 Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation Suh, Young Soo Ro, Young Sik Kang, Hee Jun Sensors (Basel) Article This paper is concerned with networked estimation, where sensor data are transmitted over a network of limited transmission rate. The transmission rate depends on the sampling periods and the quantization bit lengths. To investigate how the sampling periods and the quantization bit lengths affect the estimation performance, an equation to compute the estimation performance is provided. An algorithm is proposed to find sampling periods and quantization bit lengths combination, which gives good estimation performance while satisfying the transmission rate constraint. Through the numerical example, the proposed algorithm is verified. Molecular Diversity Preservation International (MDPI) 2010-06-29 /pmc/articles/PMC3231148/ /pubmed/22163557 http://dx.doi.org/10.3390/s100706406 Text en © 2010 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 license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Suh, Young Soo Ro, Young Sik Kang, Hee Jun Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation |
title | Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation |
title_full | Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation |
title_fullStr | Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation |
title_full_unstemmed | Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation |
title_short | Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation |
title_sort | optimization of the sampling periods and the quantization bit lengths for networked estimation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231148/ https://www.ncbi.nlm.nih.gov/pubmed/22163557 http://dx.doi.org/10.3390/s100706406 |
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