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
Link To Document :
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