Open AccessLink fault identification using dependent failure in wireless communication networks
Author(s) -
Zhang Xiaojuan,
Zhang Zhixia
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2015.2598
Subject(s) - identification (biology) , wireless , computer science , fault (geology) , wireless network , computer network , reliability engineering , engineering , telecommunications , geology , seismology , botany , biology
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.