Dependability assessment of network-based safety-related system

被引:4
|
作者
Langeron, Yves [1 ]
Barros, Anne [1 ]
Grall, Antoine [1 ]
Berenguer, Christophe [1 ]
机构
[1] Univ Technol Troyes, Inst Charles Delaunay, CNRS, Syst Modelling & Dependabil Grp,UMR 6279, F-10010 Troyes, France
关键词
Wireless sensor network; Stochastic Petri nets; Dynamic reliability; Importance measures; Multi-objectives genetic algorithm; OPTIMIZATION;
D O I
10.1016/j.jlp.2011.05.008
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Advances in electronic integration and radio communication have led to the emergence of a new kind of safety systems, i.e. Wireless Sensor Network (WSN). This network-based safety-related system is becoming more and more present in the domain of safety due to its easy deployment. It does not need a wire infrastructure and its range of applications is wide. Usually, such a system is composed of various nodes (sensors) collaborating to monitor a targeted phenomenon. In most cases, nodes are battery powered and this is the weakness of the system makes it necessary to design an energy saving policy. The present paper gives a dependability viewpoint of such a system. A modeling framework is suggested integrating the interdependency of the components. Stochastic Petri nets are used to implement this model and two heuristics to schedule component activity. The first is based on the proposed importance measures, the second on a multi-objective genetic algorithm. The aim is to conserve energy and so to extend WSN dependability. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:622 / 631
页数:10
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