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基于多门限机制对无线传感网络中数据判决的优化 被引量:1

More-threshold-based scheme for optimal performance of data decision in wireless sensor networks
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摘要 为了优化主流分布式检测系统判决性能,提高节点能量利用率,提出了节点多门限机制.通过在常规的并行分布式检测中加入节点多门限机制,在每一个传感器节点都设置有2个门限值,当本地传感器采集的信息量在2个门限值中间时,该节点将处于休眠状态,不发送判决;反之就会有高信息量的传感器节点传输它们的判决到融合中心.实验结果表明:基于节点多门限机制的传感网络,与传统机制相比具有较高的差错指数,实现了降低融合中心的差错概率,从而提高系统的判决性能. In the current large-scale distributed detection,the sensor nodes transmit binary decisions to the fusion center (FC). The fusion center also consider the unreliable decision, thus cause the fusion center error probability is increased. Based on more-threshold-based scheme. Set two thresholds at each sensor node,if sensor nodes has less-informative, that will make the nodes in a dormant state, do not sent the decisions,whereas the more informative sensor nodes transmit their decisions to the FC. The experimental results illustrate that more-threshold-based scheme have a higher error exponent, can lower the probability of error at FC,and improve the judgment performance of system.
作者 周宏志 刘云
出处 《东北师大学报(自然科学版)》 CAS CSCD 北大核心 2013年第1期60-64,共5页 Journal of Northeast Normal University(Natural Science Edition)
基金 国家自然科学基金资助项目(61262040) 云南省应用基础研究计划项目(KKSY201203062)
关键词 判决性能 多门限机制 低能耗 休眠 差错概率 judgment performance more-threshold-based low power dormant probability of error
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参考文献10

  • 1AKYI1DIZ I F,SU W,SANKARASUBRAMANIAM Y. A survey on sensor networks[J], IEEE Comm Mag,2002,40(8) :102-114.
  • 2RAGO C,WILLETT P. BAR-SHALOM Y. Censoring sensors:a low-communication-rate scheme for distributed detection[J].IEEE Electron,1996,32(2) :554-568.
  • 3DUARTE ARID M, HU Y. Distance-based decision fusion in a dislfibuted wireless sensor network[J]. TelecommunicationSystems,2004,26(4) :339-350.
  • 4APPADWEDULA S, VEERAVALLI V V,JONES D J. Energy-efficient detection in sensor networks[J], IEEE Journal onSelected Areas in Communications.2005,23(4) :693-702.
  • 5LIHUAWENG.SANDEEPPRADHAN S. Error exponent regions for gaussian broadcast and multiple-access channels[J], IEEETransactions on Information Theory.2008,7(7) : 54.
  • 6LIU B, CHEN B. Channel-optimized quantizers for decentralized detection in sensor networks [J]. IEEE Transactions onInformation Theory .2006,52(7) : 3349-3358.
  • 7CHEN B,JIANG R.KASETkASEM T. Channel aware decision fusion in wireless sensor networks[J]. IEEE Transactions onSignal Process,2004,52(12) :3454-3458.
  • 8APPADWEDULA S, VEERAVALLI V V,JONES D L. Decentralized detection with censoring sensors [J]. IEEE SignalProcessing,2008,56(4) : 1362-1373.
  • 9JIANG R,CHEN B. Fusion of censored decisions in wireless sensor networks[J]. IEEE Wireless Communications,2005,4(6):2668-2673.
  • 10KANCHUMARTHY V R, VISWANATHAN R’MADISHETTY M. Impact of channel errors on decentralized detectionperformance of wireless sensor networks[J]. IEEE Transactions on Signal Processing,2008,56(5) : 1761-1769.

同被引文献10

  • 1沈阳,陈永光,李修和,解凯.多基地雷达反隐身分布式检测融合算法研究[J].电子学报,2007,35(3):506-510. 被引量:15
  • 2LUO R C, YIH C C, SU K L. Muhisensor fusion and integration:approcahes, applications, and future research directions [ J ]. IEEE Sensors J,2007,2(2) :107-119.
  • 3CHAMBERLAND J F, VEERAVALLI V V. Wireless sensors in distributed detection applications [ J ]. IEEE Signal Process Mag ,2007,24 ( 3 ) : 16-25.
  • 4PARK J, SHEVLYAKOV G, KIM K. Fusion of decisions modeled as weak signals in wireless sensor networks [ C ]. Proc IEEE Globecom ,2009 : 1-5.
  • 5HUBER P J. Robust estimation of a location parameter[ J ]. Ann Math Statist, 1964,35:1-72.
  • 6HOSSJER O, METTIJI M. Robust multiple classification of known signals in additive noise - an asymptotic weak signal ap- proach [ J ]. IEEE Trans Inf Theory, 1993,39 (2) :594-608.
  • 7PARK J, SHEVLYAKOV G. Maximin distributed detection in the presence of impulsive alpha -stable Noise [ J ]. IEEE Trans Wireless Commun, 2011,10 ( 6 ) : 1 687-1 691.
  • 8刘英坤,冯新喜,党宏刚,潘平俊.基于聂曼-皮尔逊准则和无线信道的一种次最优分布式检测算法[J].电子与信息学报,2008,30(11):2650-2653. 被引量:1
  • 9李思明,刘云,陈熙.基于组模式在传感器调度部署中的优化[J].云南大学学报(自然科学版),2013,35(4):469-473. 被引量:6
  • 10关键,何友,彭应宁.多传感器分布式检测综述[J].系统工程与电子技术,2000,22(12):11-15. 被引量:18

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