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Opportunistic transmission using hybrid sensing for Cognitive Radio Sensor Network in the presence of smart Primary User Emulation Attack
International Journal of Electronics ( IF 1.1 ) Pub Date : 2020-11-01 , DOI: 10.1080/00207217.2020.1837254
J Bala Vishnu 1 , M.A. Bhagyaveni 1
Affiliation  

ABSTRACT

The ever-increasing spectrum demand in wireless communication networks like Sensor Network has routed to the development of Cognitive Radio Sensor Networks (CRSN). Securing the CRSN against the Primary User Emulation Attack (PUEA) plays a crucial role in the current research. In this paper, we propose an Opportunistic Transmission using the Hybrid Sensing method for the CRSN in the presence of smart PUEA. In Hybrid sensing method, both proactive sensing and reactive sensing techniques are effectively combined to reduce the error probability in detecting the Primary User signal. Furthermore, we have overcome the effect of PUEA by using the Opportunistic Transmission to improve the throughput and energy efficiency of the SU network. Both simulation and Software Defined Radio (SDR) based hardware test bed results show that the throughput is increased by 18%, the energy efficiency is increased by 11% and the error probability is reduced by 20% compared to the existing method.



中文翻译:

在智能主用户模拟攻击存在的情况下,使用混合传感进行认知无线电传感器网络的机会传输

摘要

传感器网络等无线通信网络中不断增长的频谱需求已经推动了认知无线电传感器网络 (CRSN) 的发展。保护 CRSN 免受主要用户仿真攻击 (PUEA) 在当前研究中起着至关重要的作用。在本文中,我们提出了一种在智能 PUEA 存在的情况下使用 CRSN 的混合传感方法的机会传输。在混合传感方法中,主动传感和反应传感技术有效结合,以减少检测主要用户信号的错误概率。此外,我们通过使用机会传输来提高 SU 网络的吞吐量和能源效率,从而克服了 PUEA 的影响。

更新日期:2020-11-01
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