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A robust cooperative spectrum sensing method against faulty nodes in CWSNs

机译:一种针对CWSN中故障节点的鲁棒协作频谱感知方法

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Cognitive wireless sensor networks (CWSNs) become promising infrastructures, which can improve spectrum utilization of traditional wireless sensor networks (WSNs). For cognition in WSNs, spectrum sensing is one of the most crucial function to prevent hazardous interferences with the licensed users and to identify available spectrum for improving the spectrum utilization. In this paper, we propose a robust cooperative spectrum sensing method based on Dempster-Shafer (D-S) theory. Firstly, taking into account the increase of transmitted data with the rise of the number of sensor nodes and the power limitation of nodes, we propose to adapt the D-S theory to the binary hypothesis test at the local sensing sensor node, in order to reduce the amount of control data to be transmitted. Secondly, we consider that some cognitive nodes may not work as expected. Hence, facing this problem of faulty nodes in CWSNs, we propose an evaluation method which considers simultaneously the sensor node reliability and the mutually supportive degree among different sensor nodes to support adapted decision. Simulation results show that the proposed method allows to improve significantly the detection performance compared to other techniques, even in presence of faulty nodes.
机译:认知无线传感器网络(CWSN)成为有前途的基础设施,可以提高传统无线传感器网络(WSN)的频谱利用率。对于WSN的认知而言,频谱感测是防止对许可用户造成有害干扰并识别可用频谱以提高频谱利用率的最关键功能之一。在本文中,我们提出了一种基于Dempster-Shafer(D-S)理论的鲁棒协作频谱感知方法。首先,考虑到随着传感器节点数量的增加和节点功率的限制,传输数据的增加,我们建议将DS理论应用于局部传感传感器节点的二元假设检验,以减少要传输的控制数据量。其次,我们认为某些认知节点可能无法按预期工作。因此,面对CWSNs中故障节点的问题,我们提出了一种评估方法,该方法同时考虑传感器节点的可靠性和不同传感器节点之间的相互支持程度,以支持自适应决策。仿真结果表明,与其他技术相比,即使存在故障节点,该方法也可以显着提高检测性能。

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