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Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based Eavesdropper

Security and privacy are crucial for cognitive sensor radio networks (CSRNs) due to the possible eavesdropping between secondary sensors and the secondary fusion center. Motivated by this observation, we investigate the physical layer security performance of CSRNs with an external energy harvesting...

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Detalles Bibliográficos
Autores principales: Sun, Aiwei, Liang, Tao, Li, Bolun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469631/
https://www.ncbi.nlm.nih.gov/pubmed/28471374
http://dx.doi.org/10.3390/s17051026
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author Sun, Aiwei
Liang, Tao
Li, Bolun
author_facet Sun, Aiwei
Liang, Tao
Li, Bolun
author_sort Sun, Aiwei
collection PubMed
description Security and privacy are crucial for cognitive sensor radio networks (CSRNs) due to the possible eavesdropping between secondary sensors and the secondary fusion center. Motivated by this observation, we investigate the physical layer security performance of CSRNs with an external energy harvesting (EH)-based eavesdropper. Considering the underlay working paradigm of CSRNs, the transmit power of the secondary sensor node must be adjusted to guarantee the quality-of-service ([Formula: see text]) of the primary user. Hence, two different interference power constraint scenarios are studied in this paper. To give an intuitive insight into the secrecy performance of the considered wiretap scenarios, we have derived the closed-form analytical expressions of secrecy outage probability for both of the considered cases. Monte Carlo simulation results are also performed to verify the theoretical analysis derived, and show the effect of various parameters on the system performance.
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spelling pubmed-54696312017-06-16 Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based Eavesdropper Sun, Aiwei Liang, Tao Li, Bolun Sensors (Basel) Article Security and privacy are crucial for cognitive sensor radio networks (CSRNs) due to the possible eavesdropping between secondary sensors and the secondary fusion center. Motivated by this observation, we investigate the physical layer security performance of CSRNs with an external energy harvesting (EH)-based eavesdropper. Considering the underlay working paradigm of CSRNs, the transmit power of the secondary sensor node must be adjusted to guarantee the quality-of-service ([Formula: see text]) of the primary user. Hence, two different interference power constraint scenarios are studied in this paper. To give an intuitive insight into the secrecy performance of the considered wiretap scenarios, we have derived the closed-form analytical expressions of secrecy outage probability for both of the considered cases. Monte Carlo simulation results are also performed to verify the theoretical analysis derived, and show the effect of various parameters on the system performance. MDPI 2017-05-04 /pmc/articles/PMC5469631/ /pubmed/28471374 http://dx.doi.org/10.3390/s17051026 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
Sun, Aiwei
Liang, Tao
Li, Bolun
Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based Eavesdropper
title Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based Eavesdropper
title_full Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based Eavesdropper
title_fullStr Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based Eavesdropper
title_full_unstemmed Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based Eavesdropper
title_short Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based Eavesdropper
title_sort secrecy performance analysis of cognitive sensor radio networks with an eh-based eavesdropper
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469631/
https://www.ncbi.nlm.nih.gov/pubmed/28471374
http://dx.doi.org/10.3390/s17051026
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