• DocumentCode
    2362683
  • Title

    Estimation by cross-correlation of the number of nodes in underwater networks

  • Author

    Anower, Md Shamim ; Frater, Michael R. ; Ryan, Michael J.

  • Author_Institution
    Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Knowledge of the number of nodes in a network is very useful in practical network operations. To date techniques employed to estimate the number of nodes in a network have been based on some aspect of the communications protocol(s) in use. Unfortunately, underwater networks have properties such as long propagation delay, high absorption, and dispersion that limit protocol-based techniques for estimating the number of nodes in a network. This paper investigates the estimation of the number of signal sources (N) in a region of interest through the cross-correlation of the acoustic signals received at two nodes. It is shown that the N can be expressed as a function of the mean and the standard deviation of the cross-correlation function. On the assumption that the signal sources are nodes in an underwater network, this method can be used to estimate the number of network nodes.
  • Keywords
    acoustic signal processing; protocols; underwater acoustic communication; underwater sound; acoustic signals; communications protocol; cross-correlation function; node estimation; signal sources; underwater networks; Acoustic waves; Australia; Communication networks; Frequency estimation; Intrusion detection; Monitoring; Radiofrequency identification; Routing; Underwater acoustics; Wireless sensor networks; cross-correlation; estimation; underwater acoustic sensor networks (UASN); underwater communications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunication Networks and Applications Conference (ATNAC), 2009 Australasian
  • Conference_Location
    Canberra, ACT
  • Print_ISBN
    978-1-4244-7323-6
  • Electronic_ISBN
    978-1-4244-7322-9
  • Type

    conf

  • DOI
    10.1109/ATNAC.2009.5464716
  • Filename
    5464716