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中文摘要：
对于分布式的认知无线网络,由于不存在融合中心节点,次级用户节点之间的合作感知往往采用信息交互的渠道进行,其中一种基于共识合作的感知机制受到广泛的研究,但这种机制在鲁棒性方面存在一定的缺陷,当恶意节点存在时,其错误信息将影响局部的感知判决结果,为此,提出一种基于感知节点可信度的共识合作感知机制。在该机制中,各节点对邻居节点的可信度进行计算,并把计算出的可信度值发送给其他节点,通过对各节点可信度的累加计算,最终计算出各节点的可信度,各节点以此决定是否与其邻居节点合作以及如何合作。仿真结果证明,在恶意节点存在的情况下,该算法在感知性能和收敛速度上都较未改进算法有不同程度的提升,减轻了不可靠节点对合作感知结果的影响。
英文摘要：
In distributed cognitive radio （CR） networks, the cognitive users usually actualize cooperative sensing through exchanging information with neighbors. In the existing schemes, a consensus - based cooperative scheme has been promised, but the cooperative scheme has a weak robustness when there are suspect users in the networks. So this paper proposes a reputation - based scheme to classify the CR nodes for successful consen- sus cooperation. In the proposed scheme, each user will compute the reputation values of its neighboring users and send the values to other users, simultaneously each user will receive the computed result from other users, and then the reputation values will be accumulated for each user. Finally the uniform reputation value for each user is obtained, and the reputation values are used by each user to decide whether to cooperate with its neigh- bors and how to cooperate. The simulation results show that when there are suspect users, the detecting perfor- mance of the proposed scheme outperforms the common scheme, and also the converging speed, so the proposed scheme can mitigate the harmful effect from the suspect nodes.
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