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认知无线电网络中基于信任度的频谱感知技术 被引量：2

Spectrum sensing technology based on reputation in cognitive radio network
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摘要 提出了一种在认知无线网络控制信道带宽受限条件下基于信任度的双门限协同频谱感知算法。首先每个认知用户基于双检测门限独立进行频谱感知,但只有部分可靠的认知用户通过控制信道向认知无线网络基站发送本地感知结果。当所有的用户都不可靠时,选取信任度最高的认知用户发送本地感知结果进行判决。理论分析和仿真表明,同常规能量检测算法相比较,该算法能够在控制信道带宽受限条件下,以较少的网络开销获得更好的频谱感知性能。 A new cooperative spectrum sensing method based on reputation for cognitive radios under bandwidth constraints is proposed.Every cognitive user firstly obtains an observation independently and only the users with reliable information send their local decisions to the common receiver based on double thresholds.If no user is reliable, only the cognitive user with the highest reputation is selected to sense the spectrum.Simulation results show that the spectrum sensing performance under AWGN channels is improved and the communication traffic is also reduced as opposed to the conventional method.
作者 章磊 段莉莉 黄光明
机构地区 华中师范大学电子信息工程系 黄石理工学院电子信息工程系
出处 《计算机工程与应用》 CSCD 北大核心 2010年第27期103-105,共3页 Computer Engineering and Applications
关键词 认知无线电 频谱感知 信任度 双门限 cognitive radio spectrum sensing reputation double threshold
分类号 TN915 [电子电信—通信与信息系统]
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参考文献10

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同被引文献27

  • 1Chen R, Park J M. Ensuring Trustworthy Spectrum Sensing in Cognitive Radio Networks[C]. Proceedings of IEEE Workshop of Networking Technologies for Software Defined Radio Networks, Washington: IEEE Computer Society, 2006, 110-119.
  • 2Chen R, Park J M. Toward secure distributed spectrum sensing in cognitive radio networks[J]. IEEE Communications Magazine, 2008, 46 (4): 50-55.
  • 3Huahui Wang, Lightfoot L, Tongtong Li. On PHY-layer security of cognitive radio: Collaborative sensing under malicious attacks [C]. Proceedings of 2010 44th Annual Conference on Information Sciences and Systems (CISS), Washington: IEEE Computer Society, 2010, 1-6.
  • 4Noon, E, Hnsheng Li. Defending against Hit-and-Run Attackers in Collaborative Spectrum Sensing of Cognitive Radio Networks: A Point System[C]. Proceedings of 2010 IEEE 71st Vehicular Technology Conference (VTC 2010-Spring), Washington: IEEE Computer Society, 2010, 11-15.
  • 5Husheng Li, Zhu Han. Catch Me if You Can: An Abnormality Detection Approach for Collaborative Spectrum Sensing in Cognitive Radio Networks[J]. IEEE Transactions on Wireless .Communications, 2010, 9 (11): 3554-3565.
  • 6Zhu Q, Han Z, Basar T. No-Regret Learning in Collaborative Spectrum Sensing with Malicious Nodes[C]. Proceedings of 2010 IEEE International Conference on Communications (ICC), Washington: IEEE Computer Society, 2010, 1-6.
  • 7Fatemieh O, Chandra R, Gunter C A. Secure Collaborative Sensing for Crowd Sourcing Spectrum Data in White Space Networks[C]. Proceedings of 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum, Washington: IEEE Computer Society, 2010, 1-12.
  • 8Ankit Singh Rawat, Priyank Anand, Hao Chen, et al. Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks[J]. IEEE Transactions on Signal Processing, 2011, 59 (2): 774-786.
  • 9Rawat A S, Anand P, Hao Chen, et al. Countering byzantine attacks in cognitive radio networks[C]. Proceedings of 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Washington: IEEE Computer Society, 2010, 3098-3101.
  • 10Chen l:k, Park J M, Reed J H. Defense against primary user emulation attacks in cognitive radio networks. IEEE Journal on Selected Areas in Communications Special Issue on Cognitive Radio Theory and Applications, 2008, 26(l): 25-37.

引证文献2

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计算机工程与应用
2010年 第27期

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