Determination of Threshold for Energy Detection in Cognitive Radio Sensor Networks  

感知无线传感网中能量检测的判决门限设定(英文)

作　　者：郝建军 黎晋 

机构地区：[1]School of Information and Communication Engineering,Beijing University of Posts and Telecommunications

出　　处：《China Communications》2011年第1期14-19,共6页中国通信（英文版）

基　　金：supported in part by the National Natural Science Foundation of China(Grant Nos.60971082,60872049,60972073and60871042);the National Key Basic Research Program of China(Grant No.2009CB320400);the National Great Science Specific Project(Grant Nos.2009ZX03003-001,2009ZX03003-011and2010ZX03001003);Chinese Universities Scientific Fund,China

摘　　要：The Internet of Things （loT） is called the world＇ s third wave of the information industry. As the core technology of IoT, Cognitive Radio Sensor Networks （CRSN） technology can improve spectrum utilization efficiency and lay a sofid foundation for large-scale application of IoT. Reliable spectrum sensing is a crucial task of the CR. For energy de- tection, threshold will determine the probability of detection （Pd） and the probability of false alarm Pf at the same time. While the threshold increases, Pd and Pf will both decrease. In this paper we focus on the maximum of the difference of Pd and Pf, and try to find out how to determine the threshold with this precondition. Simulation results show that the proposed method can effectively approach the ideal optimal result.The Internet of Things (IoT) is called the world's third wave of the information industry.As the core technology of IoT,Cognitive Radio Sensor Networks (CRSN) technology can improve spectrum utilization efficiency and lay a solid foundation for large-scale application of IoT.Reliable spectrum sensing is a crucial task of the CR.For energy detection,threshold will determine the probability of detection (Pd) and the probability of false alarm Pf at the same time.While the threshold increases,Pd and Pf will both decrease.In this paper we focus on the maximum of the difference of Pd and Pf,and try to find out how to determine the threshold with this precondition.Simulation results show that the proposed method can effectively approach the ideal optimal result.

关 键 词：Internet of Sensor Networks energy Things Cognitive Radio detection THRESHOLD 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]