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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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
Descripción
Sumario: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.