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基于压缩感知的稀疏事件检测 被引量：12

Sparse Event Detection Based on Compressive Sensing
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摘要 为了提高无线传感器网络中稀疏事件的检测概率,利用压缩感知技术,提出了一种改进的下降迭代检测算法.该算法通过动态调节参数,改变迭代权值,加快了算法收敛速度.实验结果表明:在相同条件下,改进算法的成功检测概率比贝叶斯算法平均提高了13%. In the wireless sensor networks,to improve detection probability,a modified descent iterative algorithm is proposed based on compressive sensing,which could adjust the parameter dynamically,and then change the value of weight.As a result,the speed of algorithm′s convergence can be accelerated.Experimental results show that,other things being equal,comparing with the bayesion algorithm,the detection probability of modified descent iterative algorithm is improved averagely by 13%.
作者 朱翠涛 瞿毅
机构地区 中南民族大学电子信息工程学院
出处 《中南民族大学学报（自然科学版）》 CAS 2011年第1期80-83,共4页 Journal of South-Central University for Nationalities：Natural Science Edition
基金 国家自然科学基金资助项目(61072075)
关键词 压缩感知 稀疏事件检测 无线传感器网络 compressive sensing sparse event detection wireless sensor networks
分类号 TP393.17 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献7

  • 1Atakli Idris M,Hu Hongbing,Chen Yu,et al. Mali- cious node detection in wireless sensor networks using weighted trust evaluation [C] //ACM. The 2008 Spring Simulation Multiconference, SanDiego: ACM Press, 2008 : 836-843.
  • 2胡立琼,舒坚,吴振华,刘琳岚,孙利民.应用于事件检测的无线传感器网络节点死活状态的研究[J].计算机科学,2009,36(9):39-42. 被引量：1
  • 3Meng Jia, Li Husheng, Han Zhu. Sparse event detec- tion in wireless sensor networks using compressive sensing[C] //Barbara A Sullivan. The 43rd Annual Conference on Information Sciences and Systems. Jeff So0knarine: Johns-Hopkins University, 2009: 181- 185.
  • 4Candes E J, Tao T. Near-optimal signal recovery from random projections: Universal encoding strategies[J]. IEEE Trans Inform Theory, 2006, 52 (12): 5406-5425.
  • 5Bruckstein A, Donoho D L, Elad M. From sparse solutions of systems of equations to sparse modeling of signals and images[J]. SIAM Review, 2007, 51 (1) : 34-81.
  • 6Donoho D L, Elad M. Optimally sparse representa- tion in general (non-orthogonal) dictionaries via L1 minimization[J]. Proc Natl Acad Sci, 2003,100(5): 2197-2202.
  • 7Rao B D, Kreutz D K. An affine scaling methodology for best basis selection [J]. IEEE Transactions on Signal Processing, 1999, 47(1):187-200.

二级参考文献8

  • 1王珏明,顾超,钱莉.无线传感网之能量篇[J].计算机应用与软件,2007,24(1):85-86. 被引量：7
  • 2Chandra T D,Toueg & Unreliable Failure Detectors for Reliable Distributed Systems[J].Journal of the ACM,1996,43(2):255-267.
  • 3Rost S,Balakrishnan H.Memento:A Health Monitoring System for Wireless Sensor Networks[C]//2006 3rd Annual IEEE Communications Society on Sensor and Adhoc Communications and Networks.Reston VA,USA,2006:575-584.
  • 4Ramanathan N,Chang K,Kohler E,et al.Sympathy for the sensor network debugger[C]//Networked sensor systems:Third ACM Conference on Embedded Networked Sensor System(SenSys).San Diego,California,USA,2005:255-267.
  • 5Hsin C F,Liu M.A Distributed Monitoring Mechanism for Wireless Sensor Networks[C]//Proceeding of the 3rd ACM Workshop on Wireless Security.Atlanta,GA,USA,2002:57-66.
  • 6Bapat S,Leal W,Kwon T,et al.Chowkidar:A Heahh Monitor for Wireless Sensor Network Testbeds[R].OSU-CISRC-10/06-TR76.The Ohio State University,2006.
  • 7Eai W,Bapat S,Kwon T,et al.Stabilizing Health Monitoring for Wireless SerLsor Networks[C]//Lecture Notes in Computer Science:8th International Symposium on Stabilization,Sefety,and Secufity of Distributed Systems.Dallas,TX,USA,2006:395-410.
  • 8Koushanfatr F,Potkonjak M,Sangiovanni v.On-line Fault Detection of Sensor Measurements[C]//Sensors,2003.Proceedings of IEEE Toronto,Canada,2003,2:974-979.

同被引文献102

  • 1裴庆祺,沈玉龙,马建峰.无线传感器网络安全技术综述[J].通信学报,2007,28(8):113-122. 被引量：94
  • 2曹冬磊,曹建农,金蓓弘.一种无线传感器网络中事件区域检测的容错算法[J].计算机学报,2007,30(10):1770-1776. 被引量：29
  • 3Bejerano Y. Coverage Verification Without Location Infor- mation[J]. IEEE Transactions on Mobile Computing, 2012, 11(4): 631-643.
  • 4Donoho D L. Compressed Sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
  • 5Tropp J A, Gilbert A C. Signal Recovery from Partial Information by Orthogonal Matching Pursuit[J]. IEEE Transactions on Information Theory, 2007, 53(11): 4655-4666.
  • 6Donoho D L, Drori I, Tsaig Y, et al. Sparse Solution of Underdetermined Linear Equations by Stage Wise Orthogonal Matching Pursuit[J]. IEEE Transactions on Information Theory, 2012, 58(2): 1091-1121.
  • 7Gilbert A C, Strauss M J, Tropp J A, et al. Algorithmic Linear Dimension Reduction in the Norm for Sparse Vectors[C]//Proc of the 44th Annual Allerton Conference on Communication, Control, and Computing. Boston, USA: Is. n.], 2006: 1145- 1149.
  • 8Candes E, Wakin M, Boyd S. Enhancing Sparsity by Reweighted /1 Minimization[J]. Journal of Fourier Analysis and Applications, 2008, 14(3): 877-905.
  • 9Gao Honglei, Chen Guolong, Guo Wenzhong. A GEP-Based Anomaly Detection Scheme in Wireless Sensor Networks[C]// Proc. of CSE'09. Vancouver, Canada: 1EEE Press, 2009: 817-822.
  • 10de Sousa L D, Frery A C, Nakamura E F, et al. Event Detection Framework for Wireless Sensor Networks Considering Data Anomaly[C]//Proc. of ISCC'12. Cappadocia, Turkey: IEEE Press, 2012: 500-507.

引证文献12

二级引证文献20

中南民族大学学报（自然科学版）
2011年 第1期

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