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Performance Analysis of Receive Diversity in Wireless Sensor Networks over GBSBE Models

Wireless sensor networks have attracted a lot of attention recently. In this paper, we develop a channel model based on the elliptical model for multipath components involving randomly placed scatterers in the scattering region with sensors deployed on a field. We verify that in a sensor network, th...

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Detalles Bibliográficos
Autores principales: Goel, Shivali, Abawajy, Jemal H., Kim, Tai-hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231074/
https://www.ncbi.nlm.nih.gov/pubmed/22163510
http://dx.doi.org/10.3390/s101211021
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author Goel, Shivali
Abawajy, Jemal H.
Kim, Tai-hoon
author_facet Goel, Shivali
Abawajy, Jemal H.
Kim, Tai-hoon
author_sort Goel, Shivali
collection PubMed
description Wireless sensor networks have attracted a lot of attention recently. In this paper, we develop a channel model based on the elliptical model for multipath components involving randomly placed scatterers in the scattering region with sensors deployed on a field. We verify that in a sensor network, the use of receive diversity techniques improves the performance of the system. Extensive performance analysis of the system is carried out for both single and multiple antennas with the applied receive diversity techniques. Performance analyses based on variations in receiver height, maximum multipath delay and transmit power have been performed considering different numbers of antenna elements present in the receiver array, Our results show that increasing the number of antenna elements for a wireless sensor network does indeed improve the BER rates that can be obtained.
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spelling pubmed-32310742011-12-07 Performance Analysis of Receive Diversity in Wireless Sensor Networks over GBSBE Models Goel, Shivali Abawajy, Jemal H. Kim, Tai-hoon Sensors (Basel) Article Wireless sensor networks have attracted a lot of attention recently. In this paper, we develop a channel model based on the elliptical model for multipath components involving randomly placed scatterers in the scattering region with sensors deployed on a field. We verify that in a sensor network, the use of receive diversity techniques improves the performance of the system. Extensive performance analysis of the system is carried out for both single and multiple antennas with the applied receive diversity techniques. Performance analyses based on variations in receiver height, maximum multipath delay and transmit power have been performed considering different numbers of antenna elements present in the receiver array, Our results show that increasing the number of antenna elements for a wireless sensor network does indeed improve the BER rates that can be obtained. Molecular Diversity Preservation International (MDPI) 2010-12-03 /pmc/articles/PMC3231074/ /pubmed/22163510 http://dx.doi.org/10.3390/s101211021 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
Goel, Shivali
Abawajy, Jemal H.
Kim, Tai-hoon
Performance Analysis of Receive Diversity in Wireless Sensor Networks over GBSBE Models
title Performance Analysis of Receive Diversity in Wireless Sensor Networks over GBSBE Models
title_full Performance Analysis of Receive Diversity in Wireless Sensor Networks over GBSBE Models
title_fullStr Performance Analysis of Receive Diversity in Wireless Sensor Networks over GBSBE Models
title_full_unstemmed Performance Analysis of Receive Diversity in Wireless Sensor Networks over GBSBE Models
title_short Performance Analysis of Receive Diversity in Wireless Sensor Networks over GBSBE Models
title_sort performance analysis of receive diversity in wireless sensor networks over gbsbe models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231074/
https://www.ncbi.nlm.nih.gov/pubmed/22163510
http://dx.doi.org/10.3390/s101211021
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