NDLI: Link fault identification using dependent failure in wireless communication networks

Content Provider	IET Digital Library
Author	Zhang, Xiaojuan Zhang, Zhixia
Abstract	The study of various communication networks has attracted many researchers from various academic fields in recent years. It is a major research to identify the faulty links in communication networks. A dependent failure approach is presented to identify the faulty links in wireless communication networks. The node importance evaluation is introduced to overcome the limitations of traditional independent failure methods. Faulty nodes effect on their direct links in the network. The dependent failure topology graph (DFTG) model and faulty link identification method take into consideration the failure probability of different nodes. The management node can autonomously identify, in real time, the most probable failed network links through building the DFTG model. Experimental validation and actual application are carried out separately. The identification method of faulty links applies to satellite networks with the connection-oriented network structure. From the simulation analyses and the actual satellite network, the test results demonstrate that this proposed method is valid, efficient, and suitable for wireless communication network applications.
Starting Page	163
Ending Page	165
Page Count	3
ISSN	00135194
Volume Number	52
e-ISSN	1350911X
Issue Number	Issue 2, Jan (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/52/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2015.2598
Journal	Electronics Letters
Publisher Date	2015-12-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Combinatorial Mathematics Dependent Failure Topology Graph Model DFTG Model Failure Probability Faulty Link Identification Method Graph Theory Link Fault Identification Probability Radio Link And Equipment Radio Network Satellite Network Statistics Wireless Communication Network
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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