一种高效节能的CRSN混合协同频谱感知技术

K. Hareesh, Pardeep Singh
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引用次数: 18

摘要

认知无线电传感器网络(CRSN)需要一种节能、经济的协同频谱感知技术,在衰落和阴影环境下,以较低的计算复杂度获得最优的感知参数值。采用基于集群的协同网络架构,结合混合频谱感知能力,考虑了CRSN动态频谱管理有效运行的合理选择。为了提高CRSN的传感效率和传感可靠性,提出了一种基于能量和特征值的检测器相结合的高能效混合协同频谱传感技术。所有CRSN节点都配备了简单的能量探测器,使用基于特征值的探测器进行检测的附加任务被分配给检测中心。数据融合中心负责决策规则的制定,着眼于CRSN低能耗、低计算复杂度的要求。仿真结果明确了基于特征值的频谱感知方案的选择,并将所提出的混合方案与基于循环平稳的混合方案进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An energy efficient hybrid co-operative spectrum sensing technique for CRSN
Cognitive Radio Sensor Networks (CRSN) demands energy efficient and a cost effective co-operative spectrum sensing techniques which performs well in fading and shadowing environment with optimum values of sensing parameters at low computational complexities. A cluster-based co-operative network architecture, an appropriate choice for effective operation of dynamic spectrum management in CRSN is considered with hybrid spectrum sensing capability. A new energy efficient hybrid co-operative spectrum sensing technique which associates energy and Eigen value based detectors is proposed to improve the sensing efficiency and sensing reliability to enhance the performance of CRSN. All CRSN nodes are equipped with simple energy detectors and the additional task of detection using Eigen value based detectors is being assigned to a detection center. The Data fusion center is responsible for the decision making rules with an eye on the requirements of low energy consumption and low computational complexity of CRSN. Simulation results clarifies the choice for Eigen value based spectrum sensing scheme and makes a comparison between the proposed hybrid scheme and a cyclostationary based hybrid scheme.
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