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A soft cooperative spectrum sensing in the presence ofmost destructive smart PUEA using energy detector

机译:使用能量检测器在存在最具破坏性的智能PUEA的情况下进行软协作频谱感测

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摘要

Recently, the growth of Internet of Things (IoT) and its remarkable impacts on human well-beingrnlife style are deniable.On the connectivity side, IoT is highly related to Wireless Sensor Networkrn(WSN) concept. The key elements include the data, which is machine-produced, specifically byrnsensors, and the data communication through connectivity technologies.Onthe security side, primaryrnuser emulation attack (PUE) is one of thewell-defined attacks in cognitive radio (CR)–basedrnWSN. Here, we investigate a smart primary user emulation attacker that has the most destructiverneffect on the spectrum sensing unit of cognitive radio users. To deal with this attack, a softrncooperative spectrum sensing using an energy detector is proposed. In the proposed method, thernvalues of sensing information of each secondary user are sent to a fusion center.Once the valuesrnare received, they will be combined with some appropriate coefficients in order to minimize spectrumrnsensing probability of error for a given probability of false alarm. The coefficients are thernvariables of a constrained optimization problem. Based on simulation results, our method has arnlower error probability in spectrum sensing in comparison to hard combination schemes (eg, ORrnrule) and soft combination schemes (eg, CSINR method).
机译:近年来,物联网(IoT)的发展及其对人类幸福生活的显着影响是可以接受的。在连接性方面,物联网与无线传感器网络(WSN)概念高度相关。关键要素包括机器产生的数据(特别是传感器)以及通过连接技术进行的数据通信。在安全方面,主用户仿真攻击(PUE)是基于认知无线电(CR)的rnWSN中定义明确的攻击之一。在这里,我们研究了一个智能的主要用户仿真攻击者,该攻击者对认知无线电用户的频谱感知单元具有最大的破坏力。为了应对这种攻击,提出了使用能量检测器的软协作频谱感测。该方法将每个次要用户的感知信息的值发送到融合中心。一旦接收到这些值,它们将与一些适当的系数组合在一起,以在给定的虚警概率下将频谱的感知概率最小化。系数是约束优化问题的变量。基于仿真结果,与硬组合方案(例如ORrnrule)和软组合方案(例如CSINR方法)相比,我们的方法在频谱感测中具有更低的错误概率。

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