期刊文献+

感知无线传感网中能量检测的判决门限设定(英文) 被引量:4

Determination of Threshold for Energy Detection in Cognitive Radio Sensor Networks
下载PDF
导出
摘要 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. 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.
作者 郝建军 黎晋
出处 《China Communications》 SCIE CSCD 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
关键词 认知无线电 传感器网络 检测阈值 能源 测定 频谱利用率 信息产业 仿真结果 Internet of Sensor Networks energy Things Cognitive Radio detection threshold
  • 相关文献

参考文献12

  • 1MICHAHELLES F, KARPISCHEK S, SCHMIDT A. What Can the Internet of Things Do for the Citizen? Workshop at Pervasive 2010. IEEE Pervasive Computing, 2010, 9 (4): 102-104.
  • 2INTERNATIONAL TELECOMMUNICATION UNION. Intemet of Things. [2005]. http://www.itu.int/publ/S-POL-IR. IT-2005/e.
  • 3SUNDMAEKER H, GUILLEMIN P, FRIESS P, et al. Vision and Challenges for Realising the Internet of Things. Brussels: European Commission, 2010.
  • 4GOH H G, KWONG K H, SHEN C, et al. CogSeNet: a Concept of Cognitive Wireless Sensor Network[C]//Proceedings of the 7th Consumer Communications and Networking Conference (CCNC 2010): Jan 9-12, 2010, Las Vegas, Nevada, USA. Piscataway, NJ, USA: IEEE, 2010: 1-2.
  • 5AKAN O, KARLI O, ERGUL O. Cognitive Radio Sensor Networks. IEEE Network, 2009, 23(4): 34-40.
  • 6ZAHMATI A S, HUSSAIN S, FERNANDO X, et al. Cognitive Wireless Sensor Networks: Emerging Topics and Recent Challenges[C]// Proceedings of Toronto International Conference on Science and Technology for Humanity (TICSTH' 09): Sep 26-27, 2009, Toronto, Ontario, Canada. Piscataway, NJ, USA: IEEE, 2009: 593-596.
  • 7VIJAY G, BDIRA E, IBNKAHLA M. Cognitive Approach in Wireless Sensor Networks: a Survey[C]//Proceedings of the 25th Biennial Symposium on Communications: May 12-14, 2010, Kingston, Ontario, Canada. Piscataway, NJ, USA: IEEE, 2010: 177-180.
  • 8YAU K L A, KOMISARCZUK P, TEAL P D. Cognitive Radio-based Wireless Sensor Networks: Conceptual Design and Open Issues [C]// Proceedings of the 34th Conference on Local Computer Networks: Oct 20-23, 2009, ZUrich, Switzerland. Piscataway, NJ, USA: IEEE, 2009: 955-962.
  • 9CABRIC D, MISHRA S M, BRODERSEN R W. Implementation Issues in Spectrum Sensing for Cognitive Radios[C]// Proceedings of the 38th Asilomar Conference on Signals, Systems and Computers: Nov 7-10, 2004, Pacific Grove, CA, USA. Piscataway, NJ, LISA: IEEE, 2004: 772-776.
  • 10FEHSKE A, GAEDDERT J D, REED J H. A New Approach to Signal Classification Using Spectral Correlation and Neural Networks[C]//Proceedings of the 5th International Symposium on New Frontiers in Dynamic Spectrum Access Networks: Nov 8-11, 2005, Baltimore, Maryland, USA. Piscataway, NJ, USA: IEEE, 2005: 144-150.

同被引文献57

  • 1陈瑞,方邦顺.峰值检测的一种新方法[J].自动化博览,2005,22(2):61-62. 被引量:2
  • 2钟慧婷,廖俊必,廖世鹏.冲击信号峰值检测及修正的研究[J].机械,2006,33(11):6-7. 被引量:4
  • 3冯文江,王红霞,侯剑辉,李国权.一种适合突发通信的信号检测改进算法[J].重庆大学学报(自然科学版),2007,30(2):58-60. 被引量:25
  • 4栾鹏程,吴瑛.基于阵列的短时信号检测与提取算法[J].电光与控制,2007,14(3):112-115. 被引量:1
  • 5HAYKIN S. Cognitive Radio: Brain-Empowered Wireless Communications[J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201-220.
  • 6ZHANG Wenzhu, LIU Xuchen. Centralized Dynamic Spectrum Allocation in Cognitive Radio Networks Based on Fuzzy Logic and Q-Learning[J]. China communications, 2011, 8(1): 46-54.
  • 7WANG Beibei, LIU K J R. Advances in Cognitive Radio Networks: A Survey[J]. IEEE Journal of Selected Topics in Signal Processing, 2011, 5(1): 5-23.
  • 8CLANCY T. Formalizing the Interference Temperature Model[J]. Wireless Communications and Mobile Computing, 2007, 7(9): 1077-1086.
  • 9SUN Shunqiao, Dr Jiaxi, NI Weiming. Distributed Power Control Based on Convex Optimization in Cognitive Radio Networks[C]// Proceedings of the International Conference on Wireless Communications and Signal Processing: October 21-23, 2010. Suzhou, China. IEEE Press, 2010: 1-6.
  • 10XIAO Yong, BI Guoan, NIYATO D. A Simple Distributed Power Control Algorithm for Cognitive Radio Networks[J]. IEEE Transactions on Wireless Communications, 2011, 10(11): 3594-3600.

引证文献4

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部