• DocumentCode
    2825577
  • Title

    Observability and estimation in distributed sensor networks

  • Author

    Ji, Meng ; Egerstedt, Magnus

  • Author_Institution
    Georgia Inst. of Technol., Atlanta
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    4221
  • Lastpage
    4226
  • Abstract
    A graph-based estimation method is proposed for distributed sensor networks. In particular, we study the problem of estimating a spatially distributed parameter. The proposed method is based on the consensus algorithm as well as basic linear control theory. As a consequence, observability of sensor networks is also investigated from the graph-theoretic point of view.
  • Keywords
    distributed sensors; graph theory; parameter estimation; distributed sensor networks; graph-based estimation method; linear control theory; observability; spatially distributed parameter; Base stations; Communication system control; Condition monitoring; Control theory; Costs; Frequency; Observability; Partitioning algorithms; Temperature sensors; USA Councils; Distributed sensor networks; agreement dynamics; algebraic graph theory; equitable partitions; networked systems; observability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434659
  • Filename
    4434659