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Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments

In this work, the impact of radiofrequency radiation leakage from microwave ovens and its effect on 802.15.4 ZigBee-compliant wireless sensor networks operating in the 2.4 GHz Industrial Scientific Medical (ISM) band is analyzed. By means of a novel radioplanning approach, based on electromagnetic f...

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Autores principales: Iturri, Peio López, Nazábal, Juan Antonio, Azpilicueta, Leire, Rodriguez, Pablo, Beruete, Miguel, Fernández-Valdivielso, Carlos, Falcone, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522981/
https://www.ncbi.nlm.nih.gov/pubmed/23202228
http://dx.doi.org/10.3390/s121115689
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author Iturri, Peio López
Nazábal, Juan Antonio
Azpilicueta, Leire
Rodriguez, Pablo
Beruete, Miguel
Fernández-Valdivielso, Carlos
Falcone, Francisco
author_facet Iturri, Peio López
Nazábal, Juan Antonio
Azpilicueta, Leire
Rodriguez, Pablo
Beruete, Miguel
Fernández-Valdivielso, Carlos
Falcone, Francisco
author_sort Iturri, Peio López
collection PubMed
description In this work, the impact of radiofrequency radiation leakage from microwave ovens and its effect on 802.15.4 ZigBee-compliant wireless sensor networks operating in the 2.4 GHz Industrial Scientific Medical (ISM) band is analyzed. By means of a novel radioplanning approach, based on electromagnetic field simulation of a microwave oven and determination of equivalent radiation sources applied to an in-house developed 3D ray launching algorithm, estimation of the microwave oven's power leakage is obtained for the complete volume of an indoor scenario. The magnitude and the variable nature of the interference is analyzed and the impact in the radio link quality in operating wireless sensors is estimated and compared with radio channel measurements as well as packet measurements. The measurement results reveal the importance of selecting an adequate 802.15.4 channel, as well as the Wireless Sensor Network deployment strategy within this type of environment, in order to optimize energy consumption and increase the overall network performance. The proposed method enables one to estimate potential interference effects in devices operating within the 2.4 GHz band in the complete scenario, prior to wireless sensor network deployment, which can aid in achieving the most optimal network topology.
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spelling pubmed-35229812013-01-09 Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments Iturri, Peio López Nazábal, Juan Antonio Azpilicueta, Leire Rodriguez, Pablo Beruete, Miguel Fernández-Valdivielso, Carlos Falcone, Francisco Sensors (Basel) Article In this work, the impact of radiofrequency radiation leakage from microwave ovens and its effect on 802.15.4 ZigBee-compliant wireless sensor networks operating in the 2.4 GHz Industrial Scientific Medical (ISM) band is analyzed. By means of a novel radioplanning approach, based on electromagnetic field simulation of a microwave oven and determination of equivalent radiation sources applied to an in-house developed 3D ray launching algorithm, estimation of the microwave oven's power leakage is obtained for the complete volume of an indoor scenario. The magnitude and the variable nature of the interference is analyzed and the impact in the radio link quality in operating wireless sensors is estimated and compared with radio channel measurements as well as packet measurements. The measurement results reveal the importance of selecting an adequate 802.15.4 channel, as well as the Wireless Sensor Network deployment strategy within this type of environment, in order to optimize energy consumption and increase the overall network performance. The proposed method enables one to estimate potential interference effects in devices operating within the 2.4 GHz band in the complete scenario, prior to wireless sensor network deployment, which can aid in achieving the most optimal network topology. Molecular Diversity Preservation International (MDPI) 2012-11-12 /pmc/articles/PMC3522981/ /pubmed/23202228 http://dx.doi.org/10.3390/s121115689 Text en © 2012 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
Iturri, Peio López
Nazábal, Juan Antonio
Azpilicueta, Leire
Rodriguez, Pablo
Beruete, Miguel
Fernández-Valdivielso, Carlos
Falcone, Francisco
Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments
title Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments
title_full Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments
title_fullStr Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments
title_full_unstemmed Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments
title_short Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments
title_sort impact of high power interference sources in planning and deployment of wireless sensor networks and devices in the 2.4 ghz frequency band in heterogeneous environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522981/
https://www.ncbi.nlm.nih.gov/pubmed/23202228
http://dx.doi.org/10.3390/s121115689
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