吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 1939-1948.doi: 10.13229/j.cnki.jdxbgxb201706036

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基于信号蝴蝶效应提取的无线传感网络失效区域检测

唐锟, 施荣华   

  1. 中南大学 信息科学与工程学院,长沙 410083
  • 收稿日期:2016-04-14 出版日期:2017-11-20 发布日期:2017-11-20
  • 通讯作者: 施荣华(1963-),男,教授,博士生导师.研究方向:量子通信,计算机网络与安全,无线传感网络.E-mail:shirh@csu.edu.cn
  • 作者简介:唐锟(1985-),男,博士研究生.研究方向:无线认知通信与安全,无线传感网络.E-mail:tk-0206@163.com
  • 基金资助:
    湖南省教育厅科研项目(12A054); 国家自然科学基金项目(61201086)

Detection of wireless sensor network failure area based on butterfly effect signal

TANG Kun, SHI Rong-hua   

  1. School of Information Science and Engineering, Central South University, Changsha 410083, China
  • Received:2016-04-14 Online:2017-11-20 Published:2017-11-20

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摘要： 针对无线传感网络(WSN)区域失效检测存在的范围精度低、误差大的问题,提出了一种WSN失效检测新模型。分析了WSN失效早期的信号特征,证明网络在失效前、后存在节点蝴蝶效应变化。引入虚拟区域的多维对偶模型,利用失效发生时,WSN节点蝴蝶效应变化在空间中表现出的对偶特征,对WSN中可能存在的失效风险进行检测,保证网络在不降低服务可用性的条件下完成失效区域检测。试验结果表明:该方法能够定量分析WSN失效对其安全性能的影响,且无需增加网络负担。

关键词: 信息处理技术, 无线传感网络, 失效性, 蝴蝶效应性, 模拟区域, 对偶特性

Abstract: In order to solve the problem of the low precision and large error in the area failure detection of Wireless Sensor Network (WSN), a new model for WSN failure detection is proposed. The signal characteristics of early failure in WSN are analyzed, and the butterfly effect of nodes is proved before and after the failure. By introducing the virtual multidimensional dual model area, and applying the dual characteristics in the space change of the butterfly effect of WSN node when the failure occurring, the risk of the failure existing in the WSN is detected, to ensure that the detection of network failure area does not reduce the service availability conditions. Experimental results show that the proposed method can quantitatively analyze the impact of WSN failure on its security performance without increasing the network burden.

Key words: information processing technology, wireless sensor networks(WSN), failure, butterfly effect, simulation area, dual characteristics

中图分类号: 

  • TH691.9
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