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Energy-aware cluster based cooperative spectrum sensing for cognitive radio sensor networks

机译:基于能量感知集群的认知无线电传感器网络的合作频谱感测

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Energy efficient spectrum sensing and data communication to extend the lifetime of cognitive radio sensor network is becoming increasingly important due to resource constraint of CR-WSN inherent from WSN. This paper presents an energy-aware clustering (EAC) algorithm that enhances spectrum sensing performance and reduces network energy consumption thereby prolonging lifetime of the network. We derived network wide energy consumption model in terms of spectrum sensing energy consumption, intra cluster and inter clusters energy consumptions, and then determined the optimal number of clusters for the network. Through numerical analysis, we evaluate the effectiveness of the proposed algorithm in terms of minimizing network wide energy consumption and improving spectrum sensing performance.
机译:节能频谱感测和数据通信扩展认知无线电传感器网络的寿命因来自WSN固有的CR-WSN的资源约束而变得越来越重要。本文提出了一种能量感知聚类(EAC)算法,其增强了频谱传感性能,从而降低了网络能量消耗,从而延长了网络的寿命。我们在频谱传感能量消耗,内部集群和群集能量消耗方面导出网络宽能耗模型,然后确定网络的最佳数量。通过数值分析,我们在最小化网络广泛能耗和提高光谱传感性能方面评估所提出的算法的有效性。

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