认知无线电网络中一种可靠的分布式频谱检测策略

在认知无线电网络中，频谱环境的不确定性严重影响了频谱检测的准确性和可靠性。针对上述问题，提出一种基于动态信誉模型的可靠的分布式认知无线电频谱检测策略。该策略建立认知用户的频谱检测协作组，基于主观逻辑理论设计分布式节点信誉库，通过信誉的动态更新结果作为频谱检测的信道搜索顺序的依据，提高信道搜索的准确性。该策略能够对恶意用户进行有效地隔离，以避免其对频谱检测的影响，从而提高了频谱检测的可靠性。通过仿真分析可知，与其他信道搜索算法比较，根据该策略设计的分布式频谱搜索算法不仅能够有效地提高频谱检测的效率，而且能够确保频谱的可靠性，从而提高信道的利用率。

Reliable distributed spectrum sensing strategy in cognitive radio networks

The uncertainty of the radio environment has a significant impact on the accuracy and reliability of spectrum sensing in the cognitive radio networks. To solve the problem, a reliable distributed spectrum sensing strategy is proposed , which is based on a dynamic reputation model. Firstly the collaborative group of spectrum detection is established, and then we design a distributed reputation database for nodes on a basis of subjective logic theory. The channel search sequence is updated through the result of dynamic renewal of the reputation. And also the malicious nodes can be effectively isolated by the strategy. The simulation results show that the algorithm according to the strategy not only can improve the accuracy of spectrum sensing, but also ensure the reliability, and thus increase the channel utilization.