• DocumentCode
    2505672
  • Title

    Functional characterization of sensor integration in distributed sensor networks

  • Author

    Prasad, Lakshman ; Iyengar, S.S. ; Kashyap, R.L. ; Madan, R.N.

  • Author_Institution
    Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
  • fYear
    1991
  • fDate
    30 Apr-2 May 1991
  • Firstpage
    186
  • Lastpage
    193
  • Abstract
    Fault-tolerance is an important issue in network design because sensor networks must function in a dynamic, uncertain world. In this paper, the authors propose a functional characterization of the fault-tolerant integration of abstract interval estimates. This model provides a test bed for a general framework which the authors hope to develop to address the general problem of fault-tolerant integration of abstract sensor estimates. They further propose a scheme for narrowing the width of the sensor output in a specific failure model and give it a functional representation. The main distinguishing feature of the authors´ model over the original Marzullo´s model is in reducing the width of the output interval estimate significantly in most cases where the number of sensors involved is large
  • Keywords
    computerised signal processing; distributed processing; estimation theory; fault tolerant computing; abstract interval estimates; distributed sensor networks; fault-tolerant integration; output interval estimate; sensor output; Computer science; Electronic equipment testing; Fault tolerance; Intelligent networks; Intelligent sensors; Sensor phenomena and characterization; Sensor systems; Surveillance; System testing; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Symposium, 1991. Proceedings., Fifth International
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    0-8186-9167-0
  • Type

    conf

  • DOI
    10.1109/IPPS.1991.153777
  • Filename
    153777