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

• Orginal Article • Previous Articles     Next Articles

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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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

CLC Number: 

  • TH691.9
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