Optimal design of fault tolerant sensor networks. Hoblos, G., Staroswiecki, M., & Aitouche, A. In Proceedings of the IEEE International Conference on Control Applications, pages 467--472, 2000.
abstract   bibtex   
The selection of measurements is one of the most important problems in the design of process instrumentation. This paper is concerned with the design of sensor networks such that the observability of the variables which are necessav for the process control remains satisfied in the presence of sensor failures. Pseudo-minimal and minimal sensor sets are organized into an oriented graph which contains all the possible reconfiguration paths for which those variables remain observable. A bottom-up analysis of this graph allows to compute reliabiliw functions which evaluate the robustness of the observability properq with respect to sensor failures. The design of optimal sensor networh thus resumes to finding pseudo- minimal sensor sets such that the mean time bqore loosing the Observabilityproperty is larger than a predefined value.
@InProceedings{ 5926,
	title = "Optimal design of fault tolerant sensor networks",
	booktitle = "Proceedings of the IEEE International Conference on Control Applications",
	author = "G. Hoblos and M. Staroswiecki and A. Aitouche",
	pages = "467--472",
	year = "2000",
	abstract = "The selection of measurements is one of the most important problems in the design of process instrumentation. This paper is concerned with the design of sensor networks such that the observability of the variables which are necessav for the process control remains satisfied in the presence of sensor failures. Pseudo-minimal and minimal sensor sets are organized into an oriented graph which contains all the possible reconfiguration paths for which those variables remain observable. A bottom-up analysis of this graph allows to compute reliabiliw functions which evaluate the robustness of the observability properq with respect to sensor failures. The design of optimal sensor networh thus resumes to finding pseudo- minimal sensor sets such that the mean time bqore loosing the Observabilityproperty is larger than a predefined value. ",
	localfile = "/home/stephan/Daten/Arbeit/Paper\_Tutorials/Paper/000101\_5926\_OptimalDesignOfFaultTolerantSensorNetworks.pdf"
}

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