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A novel energy efficient sensor selection algorithm for a multi-channel cognitive radio network

机译:一种用于多信道认知无线电网络的新型节能传感器选择算法

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Cooperative Spectrum Sensing (CSS) improves the reliability of decisions made about the presence of Primary Users in Cognitive Radio Networks (CRN). However, energy consumption for performing CSS by Secondary Users (SU) is not negligible. Consequently, since SUs should perform CSS periodically, they may encounter rapid drain of their battery lifetimes. In this paper, an energy based sensor selection algorithm for multichannel CRNs is proposed to prevent the fast drain of SUs' lifetimes. The simulation results show that the proposed algorithm can considerably improve the lifetime of SUs and network compared to the existing methods.
机译:合作频谱感测(CSS)提高了有关认知无线电网络(CRN)中主要用户的存在的决策的可靠性。但是,次要用户(SU)执行CSS的能耗不可忽略。因此,由于SU应定期执行CSS,因此它们可能会很快耗尽其电池寿命。本文提出了一种基于能量的多通道CRN传感器选择算法,以防止SU生命周期的快速消耗。仿真结果表明,与现有方法相比,该算法可以显着提高SU和网络的寿命。

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