• DocumentCode
    3156123
  • Title

    Distributed estimation of static fields in wireless sensor networks using the finite element method

  • Author

    Van Waterschoot, Toon ; Leus, Geert

  • Author_Institution
    Fac. of Electr. Eng., Math., & Comput. Sci. (EEMCS), Delft Univ. of Technol. (TU Delft), Delft, Netherlands
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    2853
  • Lastpage
    2856
  • Abstract
    This paper deals with the distributed implementation of a recently proposed algorithm for the estimation of static fields. The algorithm combines wireless sensor network (WSN) field measurements with a physical field model in the form of a partial differential equation (PDE), such that the field can be estimated at locations different from the WSN sensor node locations. By discretizing the PDE using the finite element method (FEM), the physical field model reduces to a highly sparse linear system of equations. It is shown how this FEM-induced sparsity pattern can be exploited in the design of a distributed implementation such as to minimize the communication effort and data storage required in the WSN. Simulation results illustrate that a significant improvement in field estimation accuracy can be obtained, compared to the case when only WSN measurements (without a physical model) are used.
  • Keywords
    finite element analysis; partial differential equations; wireless sensor networks; FEM-induced sparsity pattern; PDE; WSN field measurement; WSN sensor node locations; communication effort; data storage; field estimation accuracy; finite element method; partial differential equation; physical field model; sparse linear system; static field distributed estimation; wireless sensor networks; Equations; Estimation; Finite element methods; Mathematical model; Moment methods; Vectors; Wireless sensor networks; convex optimization; distributed estimation; finite element method; sparsity; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288512
  • Filename
    6288512