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Decentralized Time-Constrained Scheduling for Sensor Network in Identification of Distributed Parameter Systems

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Stochastic Models, Statistics and Their Applications

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 122))

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Abstract

An efficient approach to determine an activation policy for scanning sensor network monitoring a distributed process over some spatial domain is proposed. The scheduling problem is defined so as to maximize a criterion defined on the Fisher information matrix associated with the estimated parameters. Then, adopting pairwise communication schemes, the multi-exchange procedure is developed, which distributes the configuration process between the network nodes and take account to power consumption constraints. The approach is illustrated through an example on a sensor network scheduling problem for a convective diffusion process.

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Author information

Authors and Affiliations

  1. Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246, Zielona Góra, Poland

    Maciej Patan & Adam Romanek

Authors
  1. Maciej Patan
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  2. Adam Romanek
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Corresponding author

Correspondence to Maciej Patan .

Editor information

Editors and Affiliations

  1. Institute of Statistics, RWTH Aachen University, Aachen, Germany

    Ansgar Steland

  2. Dept. of Computer Engineering, Control and Robotics, Wrocław University of Technology, Wrocław, Poland

    Ewaryst Rafajłowicz

  3. Inst. of Mathematics and Computer Science, Wrocław University of Technology, Wrocław, Poland

    Krzysztof Szajowski

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Patan, M., Romanek, A. (2015). Decentralized Time-Constrained Scheduling for Sensor Network in Identification of Distributed Parameter Systems. In: Steland, A., Rafajłowicz, E., Szajowski, K. (eds) Stochastic Models, Statistics and Their Applications. Springer Proceedings in Mathematics & Statistics, vol 122. Springer, Cham. https://doi.org/10.1007/978-3-319-13881-7_46

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