DocumentCode :
2665193
Title :
Survivability Analysis of Wireless Sensor Network with Transient Faults
Author :
Masoum, Alireza ; Jahangir, Amir Hossein ; Taghikhaki, Zahra
Author_Institution :
Dept. of IT Eng., Urmia Univ. Of Technol., Urmia, Iran
fYear :
2008
fDate :
10-12 Dec. 2008
Firstpage :
975
Lastpage :
980
Abstract :
To the best knowledge of us, survivability for WSN has never been studied considering failure affects on network. We perceive the network survivability as a composite measure consisting of both network failure duration and failure impact on the network. In this paper we will study network survivability in unstably state: in this state, network is affected by the failures that occur temporarily and instantly also may occur several times. In other words, the main characteristics of these failures are their frequency and being temporary. In this paper we will propose a survivability model for network in unstable state that is based on network availability. This availability model, presents frequent availability of a route. During this paper, first we acquire an availability model for network in unstable state that shows frequent availability of a node. We also use Markov model for nodes to show their transmission state according to availability model. Then we use a computational method for proving our model.
Keywords :
Markov processes; fault diagnosis; wireless sensor networks; Markov model; network availability; network failure; network survivability; survivability analysis; survivability model; transient faults; wireless sensor network; Availability; Biomedical monitoring; Computer networks; Failure analysis; Frequency; Knowledge engineering; Military computing; Mission critical systems; Transient analysis; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3514-2
Type :
conf
DOI :
10.1109/CIMCA.2008.195
Filename :
5172758
Link To Document :
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