CAJ | 학술논문

为了降低传感节点的能耗，给出了认知传感器网络中能耗有效的协作频谱感测算法。算法研究了瞬时信噪比已知情况下感测节点选择方法和能量检测门限设定方案。在满足全局检测概率和虚警概率的限定条件下，设定判决门限和选择感测节点，使得分布式感测节点的能耗最低。仿真结果表明：算法明显降低了认知传感器网络的节点总能耗，提高了能耗效率。
위료강저전감절점적능모，급출료인지전감기망락중능모유효적협작빈보감측산법。산법연구료순시신조비이지정황하감측절점선택방법화능량검측문한설정방안。재만족전국검측개솔화허경개솔적한정조건하，설정판결문한화선택감측절점，사득분포식감측절점적능모최저。방진결과표명：산법명현강저료인지전감기망락적절점총능모，제고료능모효솔。
In order to save energy in the nodes,an energy-efficient scheme was proposed for cooperative spec-trum sensing in cognitive wireless sensor networks. In our scheme,a technique was introduced to select the sensing nodes and to set detection threshold based on the known instantaneous SNR. Our objective was to minimize the ener-gy consumed in distributed sensing subject to constraints on global probability of detection and probability of false a-larm by determining the detection threshold and selection of the sensing nodes. Simulation results showed that the proposed algorithms lead to significant energy saving in cognitive sensor networks,energy efficiency was improved.