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    Survivability analysis of wireless sensor network with transient faults

    , Article 2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008, Vienna, 10 December 2008 through 12 December 2008 ; 2008 , Pages 975-980 ; 9780769535142 (ISBN) Masoum, A. R ; Jahangir, A. H ; Taghikhaki, Z ; Sharif University of Technology
    2008
    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... 

    Survivability modeling of wireless sensor networks

    , Article 2008 IEEE International Symposium on Wireless Communication Systems, ISWCS'08, ReykjavIk, 21 October 2008 through 24 October 2008 ; 2008 , Pages 593-597 ; 9781424424894 (ISBN) Masoum, A. R ; Jahangir, A. H ; Taghikhaki, Z ; Masoum, A ; Sharif University of Technology
    2008
    Abstract
    Network survivability is one of the main design challenges in wireless sensor networks (WSN). Survivability is the ability of the network to provide essential services in the presence of attacks and/or failures, and recover full service in a timely manner. To the best knowledge of us, survivability for WSN has never been studied considering failure effects on network. We consider the network survivability as a composite measure consisting of both network failure duration and failure impact on the network. In this paper we model network survivability in steady state. In this state, network is affected by predicted failures. This modeling is based on network connectivity and coverage, when an...