论文部分内容阅读
在协作式认知无线电频谱感知中,恶意节点会通过向数据融合中心传送虚假的感知信息来降低整个网络的频谱感知性能.为了提高协作感知对虚假感知信息攻击的免疫力,提出一种基于加权序贯似然比检测技术的鲁棒协作式频谱感知方案.通过采用信誉记录,权值分配和多线程检测三种机制,能够做到有效判别和剔除恶意节点,提高了协作式频谱感知的鲁棒性.
In collaborative cognitive radio spectrum sensing, malicious nodes reduce the spectrum sensing performance of the entire network by transmitting false sensing information to the data fusion center.In order to improve the immunity of collaborative sensing to false sensing information attacks, a weighted Sequential cooperative likelihood detection technology, a collaborative spectrum sensing scheme based on sequential likelihood ratio (LLSR) is proposed, which can effectively discriminate and eliminate malicious nodes and improve cooperative spectrum sensing by using three mechanisms: reputation record, weight distribution and multi-thread detection Great.