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Mobile Sensor Networks for Inspection Tasks in Harsh Industrial Environments
Recent advances in sensor technology have enabled the fast development of mobile sensor networks operating in various unknown and sometimes hazardous environments. In this paper, we introduce one integrative approach to design, analyze and test distributed control algorithms to coordinate a network...
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/PMC3264441/ https://www.ncbi.nlm.nih.gov/pubmed/22294889 http://dx.doi.org/10.3390/s100301599 |
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author | Mulder, Jacob Wang, Xinyu Ferwerda, Franke Cao, Ming |
author_facet | Mulder, Jacob Wang, Xinyu Ferwerda, Franke Cao, Ming |
author_sort | Mulder, Jacob |
collection | PubMed |
description | Recent advances in sensor technology have enabled the fast development of mobile sensor networks operating in various unknown and sometimes hazardous environments. In this paper, we introduce one integrative approach to design, analyze and test distributed control algorithms to coordinate a network of autonomous mobile sensors by utilizing both simulation tools and a robotic testbed. The research has been carried out in the context of the mobile sensing project, PicoSmart, in the northern provinces of the Netherlands for the inspection of natural gas pipelines. |
format | Online Article Text |
id | pubmed-3264441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32644412012-01-31 Mobile Sensor Networks for Inspection Tasks in Harsh Industrial Environments Mulder, Jacob Wang, Xinyu Ferwerda, Franke Cao, Ming Sensors (Basel) Article Recent advances in sensor technology have enabled the fast development of mobile sensor networks operating in various unknown and sometimes hazardous environments. In this paper, we introduce one integrative approach to design, analyze and test distributed control algorithms to coordinate a network of autonomous mobile sensors by utilizing both simulation tools and a robotic testbed. The research has been carried out in the context of the mobile sensing project, PicoSmart, in the northern provinces of the Netherlands for the inspection of natural gas pipelines. Molecular Diversity Preservation International (MDPI) 2010-03-01 /pmc/articles/PMC3264441/ /pubmed/22294889 http://dx.doi.org/10.3390/s100301599 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, 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 Mulder, Jacob Wang, Xinyu Ferwerda, Franke Cao, Ming Mobile Sensor Networks for Inspection Tasks in Harsh Industrial Environments |
title | Mobile Sensor Networks for Inspection Tasks in Harsh Industrial Environments |
title_full | Mobile Sensor Networks for Inspection Tasks in Harsh Industrial Environments |
title_fullStr | Mobile Sensor Networks for Inspection Tasks in Harsh Industrial Environments |
title_full_unstemmed | Mobile Sensor Networks for Inspection Tasks in Harsh Industrial Environments |
title_short | Mobile Sensor Networks for Inspection Tasks in Harsh Industrial Environments |
title_sort | mobile sensor networks for inspection tasks in harsh industrial environments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3264441/ https://www.ncbi.nlm.nih.gov/pubmed/22294889 http://dx.doi.org/10.3390/s100301599 |
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