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Sensors 2017, 17(5), 1026; doi:10.3390/s17051026

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

1,†,* , 2,†
and
1,†
1
Institute of Communications Engineering, PLA University of Science and Technology, No. 2 Biaoying, Qinhuai District, Nanjing 210007, China
2
Nanjing Telecommunication Technology Institute, No. 18 Houbiaoying, Qinhuai District, Nanjing 210007, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Yuanyuan Yang and Songtao Guo
Received: 14 January 2017 / Revised: 13 March 2017 / Accepted: 23 March 2017 / Published: 4 May 2017
(This article belongs to the Special Issue Wireless Rechargeable Sensor Networks)
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Abstract

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 ( Q o S ) 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. View Full-Text
Keywords: physical layer security; cognitive sensor radio networks; secrecy outage performance; Monte Carlo simulations physical layer security; cognitive sensor radio networks; secrecy outage performance; Monte Carlo simulations
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Sun, A.; Liang, T.; Li, B. Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based Eavesdropper. Sensors 2017, 17, 1026.

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