Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure

Abstract This proposal investigates the effect of vegetation height and density on received signal strength between two sensor nodes communicating under IEEE 802.15.4 wireless standard. With the aim of investigating the path loss coefficient of 2.4 GHz radio signal in an IEEE 802.15.4 precision agri...

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Autores principales:	Pankaj Pal, Rashmi Priya Sharma, Sachin Tripathi, Chiranjeev Kumar, Dharavath Ramesh
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7d44c7dc90ac4382a695a25551b4200f
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spelling	oai:doaj.org-article:7d44c7dc90ac4382a695a25551b4200f2021-12-02T14:27:46ZGenetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure10.1038/s41598-021-86462-12045-2322https://doaj.org/article/7d44c7dc90ac4382a695a25551b4200f2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86462-1https://doaj.org/toc/2045-2322Abstract This proposal investigates the effect of vegetation height and density on received signal strength between two sensor nodes communicating under IEEE 802.15.4 wireless standard. With the aim of investigating the path loss coefficient of 2.4 GHz radio signal in an IEEE 802.15.4 precision agriculture monitoring infrastructure, measurement campaigns were carried out in different growing stages of potato and wheat crops. Experimental observations indicate that initial node deployment in the wheat crop experiences network dis-connectivity due to increased signal attenuation, which is due to the growth of wheat vegetation height and density in the grain-filling and physical-maturity periods. An empirical measurement-based path loss model is formulated to identify the received signal strength in different crop growth stages. Further, a NSGA-II multi-objective evolutionary computation is performed to generate initial node deployment and is optimized over increased coverage, reduced over-coverage, and received signal strength. The results show the development of a reliable wireless sensor network infrastructure for wheat crop monitoring.Pankaj PalRashmi Priya SharmaSachin TripathiChiranjeev KumarDharavath RameshNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Pankaj Pal Rashmi Priya Sharma Sachin Tripathi Chiranjeev Kumar Dharavath Ramesh Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure
description	Abstract This proposal investigates the effect of vegetation height and density on received signal strength between two sensor nodes communicating under IEEE 802.15.4 wireless standard. With the aim of investigating the path loss coefficient of 2.4 GHz radio signal in an IEEE 802.15.4 precision agriculture monitoring infrastructure, measurement campaigns were carried out in different growing stages of potato and wheat crops. Experimental observations indicate that initial node deployment in the wheat crop experiences network dis-connectivity due to increased signal attenuation, which is due to the growth of wheat vegetation height and density in the grain-filling and physical-maturity periods. An empirical measurement-based path loss model is formulated to identify the received signal strength in different crop growth stages. Further, a NSGA-II multi-objective evolutionary computation is performed to generate initial node deployment and is optimized over increased coverage, reduced over-coverage, and received signal strength. The results show the development of a reliable wireless sensor network infrastructure for wheat crop monitoring.
format	article
author	Pankaj Pal Rashmi Priya Sharma Sachin Tripathi Chiranjeev Kumar Dharavath Ramesh
author_facet	Pankaj Pal Rashmi Priya Sharma Sachin Tripathi Chiranjeev Kumar Dharavath Ramesh
author_sort	Pankaj Pal
title	Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure
title_short	Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure
title_full	Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure
title_fullStr	Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure
title_full_unstemmed	Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure
title_sort	genetic algorithm optimized node deployment in ieee 802.15.4 potato and wheat crop monitoring infrastructure
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7d44c7dc90ac4382a695a25551b4200f
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Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure

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