The Novel Crowdsourcing Algorithm for Cooperative Spectrum Sensing
The Novel Crowdsourcing Algorithm for Cooperative Spectrum Sensing
复制标题
协作频谱感知的新型众包算法
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
W. Chung
中科院分区：
文献类型：
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作者：
Szu;Tsung;W. Chung
在认知无线电网络环境下，基于众包模型的协作频谱感知是获取频谱状态信息的一种创新而有效的技术。具体而言，次用户感知授权频谱，然后根据众包模型将SSI发送回融合中心。在实际应用中，在这些次级用户中往往存在着恶意或错误行为的用户。因此，频谱感知的准确性将受到这些用户的影响。为了检测恶意用户，进一步提高频谱感知的准确性，提出了一种新的众包协作频谱感知算法。拟议方案中引入了同意率，这是众包框架下的一个重要信息。仿真结果表明，该算法具有更好的性能比现有的方法。
Cooperative spectrum sensing with the crowdsourcing model has become an innovative and efficient technique for obtaining the spectrum state information (SSI) under the cognitive radio networks. Specifically, the secondary users sense the licensed spectrum then send the SSI back to the fusion center according to the crowdsourcing model. In practice, the users with malicious or erroneous behavior are always existing among those secondary users. Thus the accuracy of spectrum sensing would be influenced by those users. In this paper, a novel crowdsourcing algorithm for cooperative spectrum sensing is proposed to detect the malicious users and further improve the accuracy of spectrum sensing. The agreement ratio is introduced in the proposed scheme, which is an important information under the crowdsourcing framework. Simulation results show that the proposed algorithm possesses better performance than the existing approaches.