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A Blockchain-Based Node Selection Algorithm in Cognitive Wireless Networks
IEEE Access ( IF 3.4 ) Pub Date : 2020-11-16 , DOI: 10.1109/access.2020.3038321
Huang Tangsen , Xiaowu Li , Xiangdong Ying

In cognitive wireless networks, multi-node cooperative spectrum sensing can effectively improve the accuracy of spectrum sensing, but there is a non-linear relationship between the number of nodes and sensing accuracy. Nodes with low reliability participate in cooperative sensing, which is not conducive to the improvement of sensing accuracy, and reduces the energy efficiency of spectrum sensing, which poses challenges to the normal operation of cognitive wireless networks. In order to improve energy efficiency and sensing performance, this paper proposes the node evaluation and scheduling (NES) algorithm and the Secure Spectrum Sensing based on Blockchain (SSSB) algorithm, which can evaluate the reliability of sensing nodes in real time, and obtain the trust value of the node. The nodes information is stored in the management center of blockchain. Blockchain encrypts nodes information to ensure that a node corresponds to its own trust value without confusion. Fusion Center of cognitive wireless networks select good performance nodes to participate in cooperative spectrum sensing. Which can reduce energy consumption while improving the sensing performance. The simulation experiment results show that the new algorithm in this paper is far superior to the traditional algorithm. Under the same other conditions, the detection probability is increased by 5%, and the energy consumption is reduced by 10%, and the safety index has also been greatly improved.

中文翻译:


认知无线网络中基于区块链的节点选择算法



在认知无线网络中,多节点协作频谱感知可以有效提高频谱感知的精度,但节点数量与感知精度之间存在非线性关系。可靠性较低的节点参与协同感知,不利于感知精度的提升,同时降低了频谱感知的能量效率,给认知无线网络的正常运行带来挑战。为了提高能源效率和感知性能,本文提出节点评估和调度(NES)算法和基于区块链的安全频谱感知(SSSB)算法,可以实时评估感知节点的可靠性,并获得节点的信任值。节点信息存储在区块链管理中心。区块链对节点信息进行加密,保证节点对应自身的信任值,不会混淆。认知无线网络融合中心选择性能好的节点参与协作频谱感知。从而可以降低能耗,同时提高传感性能。仿真实验结果表明本文的新算法远远优于传统算法。其他条件相同的情况下,检测概率提高5%,能耗降低10%,安全指标也大幅提升。
更新日期:2020-11-16
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