模拟人群信任和决策机制的协作频谱感知方法

发布时间：2018-01-17 12:30

本文关键词：模拟人群信任和决策机制的协作频谱感知方法　出处：《通信学报》2014年03期 　论文类型：期刊论文

【摘要】：通过模拟人群内部的信任和决策机制,针对多用户的频谱协作感知一致性问题,提出了一种分布式算法。该算法首先通过网络的历次协作过程预测出各感知用户的动态可信值,据此产生用户的相对可信值,并结合决策机制使得用户之间进行数据交互,随着数据的可信、迭代交互,所有用户状态将趋于一致,最后通过判定算法得出最终结果。算法充分考虑了实际环境中各用户频带感知能力的不平衡性,而且各次级用户只需要进行少量局部数据交换即可实现协作感知,与传统的OR-rule、1-out-of-N rule以及普通迭代法有较大区别。对3种数据篡改攻击进行了分析,并在预测算法的基础上提出了相应的安全策略。理论分析与仿真结果表明,新算法在准确性和安全性上均优于传统合作频谱感知算法,能显著提高频谱感知准确率,同时兼具较强的防攻击能力。
[Abstract]:By simulating the trust and decision-making mechanism within the crowd, the consistency problem of multi-user spectrum cooperative perception is studied. In this paper, a distributed algorithm is proposed. Firstly, the dynamic trusted value of each perceived user is predicted by the network cooperation process, and the relative trusted value of the user is generated. Combined with the decision-making mechanism, users can interact with each other. With the credibility of the data, iterative interaction, all user states will tend to be consistent. Finally, the final result is obtained by judging the algorithm. The algorithm takes full account of the imbalance of the users' frequency band perception ability in the actual environment. And each secondary user only need a small amount of local data exchange to achieve collaborative awareness, with the traditional OR-rule. The 1-out-of-N rule is different from the common iteration method. Three kinds of data tampering attacks are analyzed. The theoretical analysis and simulation results show that the new algorithm is superior to the traditional cooperative spectrum sensing algorithm in accuracy and security. It can significantly improve the accuracy of spectrum sensing, and has a strong anti-attack ability at the same time.
【作者单位】：武汉大学计算机学院;
【基金】：国家自然科学基金资助项目(61173137) 湖北省自然科学基金资助项目(2010CDA004) 教育部博士点基金资助项目(20120141110002)~~
【分类号】：TN925
【正文快照】： 1引言随着无线通信技术的不断发展、通信量的不断增长,频谱作为一种有限的资源,它的利用率越来越受人们的关注。在资源一定的情况下,如何提高资源的有效利用率则成了解决问题的关键。认知无线电(CR,cognitive radio)是一种具有学习能力、能与周围环境进行信息交互、以感知和

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