{"title":"Estimation by cross-correlation of the number of nodes in underwater networks","authors":"M. Anower, M. Frater, M. Ryan","doi":"10.1109/ATNAC.2009.5464716","DOIUrl":null,"url":null,"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.","PeriodicalId":224107,"journal":{"name":"2009 Australasian Telecommunication Networks and Applications Conference (ATNAC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Australasian Telecommunication Networks and Applications Conference (ATNAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATNAC.2009.5464716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 34
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.