• DocumentCode
    463774
  • Title

    Optimal Sensor Selection in Heterogeneous Sensor Networks

  • Author

    Lazaro, M. ; Artes-Rodriguez, A.

  • Author_Institution
    Dept. of Signal Theory & Commun., Universidad Carlos III de Madrid, Spain
  • Volume
    2
  • fYear
    2007
  • fDate
    15-20 April 2007
  • Abstract
    We consider a large-scale, dense sensor network with two types of binary sensors with different discrimination performance and costs. We want to analyze what is the optimal proportion of both sensors in a target detection problem by assigning a given total cost per measurement. We obtain the hypothesis test, and we obtain the test performance using large deviation bounds. We found that the optimal proportion is "winner takes all" like. The sensor with the best performance/cost ratio is selected.
  • Keywords
    signal detection; wireless sensor networks; binary sensors; deviation bounds; heterogeneous sensor networks; hypothesis test; large-scale dense sensor network; optimal sensor selection; target detection problem; Cost function; Detectors; Energy consumption; Intelligent networks; Large-scale systems; Object detection; Sensor phenomena and characterization; Testing; Transmitters; Wireless sensor networks; Sensor networks; cost-constrained; large deviations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.366411
  • Filename
    4217584