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On Multi-Hop Decode-and-Forward Cooperative Relaying for Industrial Wireless Sensor Networks

Wireless sensor networks (WSNs) will play a fundamental role in the realization of Internet of Things and Industry 4.0. Arising from the presence of spatially distributed sensor nodes in a sensor network, cooperative diversity can be achieved by using the sensor nodes between a given source-destinat...

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Detalles Bibliográficos
Autores principales: Ai, Yun, Cheffena, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421655/
https://www.ncbi.nlm.nih.gov/pubmed/28350343
http://dx.doi.org/10.3390/s17040695
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author Ai, Yun
Cheffena, Michael
author_facet Ai, Yun
Cheffena, Michael
author_sort Ai, Yun
collection PubMed
description Wireless sensor networks (WSNs) will play a fundamental role in the realization of Internet of Things and Industry 4.0. Arising from the presence of spatially distributed sensor nodes in a sensor network, cooperative diversity can be achieved by using the sensor nodes between a given source-destination pair as intermediate relay stations. In this paper, we investigate the end-to-end average bit error rate (BER) and the channel capacity of a multi-hop relay network in the presence of impulsive noise modeled by the well-known Middleton’s class-A model. Specifically, we consider a multi-hop decode-and-forward (DF) relay network over Nakagami-m fading channel due to its generality, but also due to the absence of reported works in this area. Closed-form analytical expressions for the end-to-end average BER and the statistical properties of the end-to-end channel capacity are obtained. The impacts of the channel parameters on these performance quantities are evaluated and discussed.
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spelling pubmed-54216552017-05-12 On Multi-Hop Decode-and-Forward Cooperative Relaying for Industrial Wireless Sensor Networks Ai, Yun Cheffena, Michael Sensors (Basel) Article Wireless sensor networks (WSNs) will play a fundamental role in the realization of Internet of Things and Industry 4.0. Arising from the presence of spatially distributed sensor nodes in a sensor network, cooperative diversity can be achieved by using the sensor nodes between a given source-destination pair as intermediate relay stations. In this paper, we investigate the end-to-end average bit error rate (BER) and the channel capacity of a multi-hop relay network in the presence of impulsive noise modeled by the well-known Middleton’s class-A model. Specifically, we consider a multi-hop decode-and-forward (DF) relay network over Nakagami-m fading channel due to its generality, but also due to the absence of reported works in this area. Closed-form analytical expressions for the end-to-end average BER and the statistical properties of the end-to-end channel capacity are obtained. The impacts of the channel parameters on these performance quantities are evaluated and discussed. MDPI 2017-03-28 /pmc/articles/PMC5421655/ /pubmed/28350343 http://dx.doi.org/10.3390/s17040695 Text en © 2017 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ai, Yun
Cheffena, Michael
On Multi-Hop Decode-and-Forward Cooperative Relaying for Industrial Wireless Sensor Networks
title On Multi-Hop Decode-and-Forward Cooperative Relaying for Industrial Wireless Sensor Networks
title_full On Multi-Hop Decode-and-Forward Cooperative Relaying for Industrial Wireless Sensor Networks
title_fullStr On Multi-Hop Decode-and-Forward Cooperative Relaying for Industrial Wireless Sensor Networks
title_full_unstemmed On Multi-Hop Decode-and-Forward Cooperative Relaying for Industrial Wireless Sensor Networks
title_short On Multi-Hop Decode-and-Forward Cooperative Relaying for Industrial Wireless Sensor Networks
title_sort on multi-hop decode-and-forward cooperative relaying for industrial wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421655/
https://www.ncbi.nlm.nih.gov/pubmed/28350343
http://dx.doi.org/10.3390/s17040695
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