Effect of signal strength on different parameters of cross-correlation function in underwater network cardinality estimation

Cardinality estimation of underwater network is somewhat troublesome using terrestrial node estimation methods due to unique characteristics of underwater environment such as large propagation latency, node mobility, non-negligible capture effect, and high error rate. For this reason, a cardinality estimation method based on cross-correlation of Gaussian signals is proposed for underwater network, in which different estimation parameters can be formulated from the cross-correlation function (CCF). Effect of signal strength on these estimation parameters is analyzed in this paper in order to find out the suitable estimation parameter for cross-correlation based technique.