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A hybrid approach to enhance the lifespan of WSNs in nuclear power plant monitoring system
In recent years, the nuclear power plant has received huge attention as it generates vast amounts of power at a lower cost. However, its creation of radioactive wastes is a major environmental concern. Therefore, the nuclear power plant requires a reliable and uninterrupted monitoring system as an e...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921315/ https://www.ncbi.nlm.nih.gov/pubmed/35288583 http://dx.doi.org/10.1038/s41598-022-08075-6 |
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author | Haque, Md Ershadul Hossain, Tanvir Sarker, Mahidur R. Paul, Manoranjan Hoque, Md Samiul Uddin, Salah Suman, Abdulla Al Md Saad, Mohamad Hanif Ul Huque, Tanvir |
author_facet | Haque, Md Ershadul Hossain, Tanvir Sarker, Mahidur R. Paul, Manoranjan Hoque, Md Samiul Uddin, Salah Suman, Abdulla Al Md Saad, Mohamad Hanif Ul Huque, Tanvir |
author_sort | Haque, Md Ershadul |
collection | PubMed |
description | In recent years, the nuclear power plant has received huge attention as it generates vast amounts of power at a lower cost. However, its creation of radioactive wastes is a major environmental concern. Therefore, the nuclear power plant requires a reliable and uninterrupted monitoring system as an essential part of it. Monitoring a nuclear power plant using wireless sensor networks is a convenient and popular practice now. This paper proposes a hybrid approach for monitoring wireless sensor networks in the context of a nuclear power plant in Bangladesh. Our hybrid approach enhances the lifespan of wireless sensor networks reducing power consumption and offering better connectivity of sensors. To do so, it uses both the topology maintenance and topology construction algorithms. We found that the HGETRecRot topology maintenance algorithm enhances the network lifetime compared to other algorithms. This algorithm increases the communication and sensing coverage area but decreases the network performance. We also propose a prediction model, based on linear regression algorithm, that predicts the best combination of topology maintenance and topology construction algorithms. |
format | Online Article Text |
id | pubmed-8921315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89213152022-03-16 A hybrid approach to enhance the lifespan of WSNs in nuclear power plant monitoring system Haque, Md Ershadul Hossain, Tanvir Sarker, Mahidur R. Paul, Manoranjan Hoque, Md Samiul Uddin, Salah Suman, Abdulla Al Md Saad, Mohamad Hanif Ul Huque, Tanvir Sci Rep Article In recent years, the nuclear power plant has received huge attention as it generates vast amounts of power at a lower cost. However, its creation of radioactive wastes is a major environmental concern. Therefore, the nuclear power plant requires a reliable and uninterrupted monitoring system as an essential part of it. Monitoring a nuclear power plant using wireless sensor networks is a convenient and popular practice now. This paper proposes a hybrid approach for monitoring wireless sensor networks in the context of a nuclear power plant in Bangladesh. Our hybrid approach enhances the lifespan of wireless sensor networks reducing power consumption and offering better connectivity of sensors. To do so, it uses both the topology maintenance and topology construction algorithms. We found that the HGETRecRot topology maintenance algorithm enhances the network lifetime compared to other algorithms. This algorithm increases the communication and sensing coverage area but decreases the network performance. We also propose a prediction model, based on linear regression algorithm, that predicts the best combination of topology maintenance and topology construction algorithms. Nature Publishing Group UK 2022-03-14 /pmc/articles/PMC8921315/ /pubmed/35288583 http://dx.doi.org/10.1038/s41598-022-08075-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Haque, Md Ershadul Hossain, Tanvir Sarker, Mahidur R. Paul, Manoranjan Hoque, Md Samiul Uddin, Salah Suman, Abdulla Al Md Saad, Mohamad Hanif Ul Huque, Tanvir A hybrid approach to enhance the lifespan of WSNs in nuclear power plant monitoring system |
title | A hybrid approach to enhance the lifespan of WSNs in nuclear power plant monitoring system |
title_full | A hybrid approach to enhance the lifespan of WSNs in nuclear power plant monitoring system |
title_fullStr | A hybrid approach to enhance the lifespan of WSNs in nuclear power plant monitoring system |
title_full_unstemmed | A hybrid approach to enhance the lifespan of WSNs in nuclear power plant monitoring system |
title_short | A hybrid approach to enhance the lifespan of WSNs in nuclear power plant monitoring system |
title_sort | hybrid approach to enhance the lifespan of wsns in nuclear power plant monitoring system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921315/ https://www.ncbi.nlm.nih.gov/pubmed/35288583 http://dx.doi.org/10.1038/s41598-022-08075-6 |
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