Telecommunications Science ›› 2017, Vol. 33 ›› Issue (3): 76-82.doi: 10.11959/j.issn.1000-0801.2017077

• research and development • Previous Articles     Next Articles

Network fault location based on bipartite graphs for communication and information networks

Limin CUI1,2,Qingsu HE3(),Junsheng WANG3,Xin SHI3   

  1. 1 College of Economics and Management, North China Electric Power University, Beijing 102206, China
    2 China State Grid Xinjiang Information and Telecommunication Company, Urumqi 830018, China
    3 State Grid Electronic Commerce Co., Ltd., Beijing 100053, China
  • Revised:2017-02-17 Online:2017-03-01 Published:2017-04-05
  • Supported by:
    The Science and Technology Project of State Grid Corporation of China:The Research on the Key Technology of The Joint Fault Location and Cross Impact Analysis of Information and Communication Network(526802150008)

Abstract:

The current State Grid communication and information networks rely on two separate network management systems.Such management structure brings challenges to network fault location,which calls for joint network fault analyze method. Grasping the transmission correlation of network nodes, a joint network fault location mechanism based on bipartite graph model was proposed.Firstly,network nodes were clustered into multiple sub-domains based on their fault correlation.Then,the bipartite graph fault correlation model was established for each sub-domain.Finally,the target sorting method was applied to locate network faults in every sub-domain simultaneously.Simulation experiments show that this method can locate network faults with high accuracy.

Key words: fault correlation location, network clustering, bipartite graph fault correlation model

CLC Number: 

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