Effect of sensor number and location in cross-correlation based node estimation technique for underwater communications network

In underwater wireless sensor network (UWSN), node estimation poses a great challenge using conventional protocol techniques due to underwater propagation characteristics. For this reason, a cross-correlation based technique is applied to estimate the number of nodes, which is equally suitable for any environment networks. The nodes are considered as acoustic signal sources in an underwater network and sensors are considered as receiving nodes. In this paper, the estimation of the number of nodes (N) in a spherical region of an underwater acoustic sensor network (UASN) has been investigated by cross-correlating the acoustic signals received at three sensors to analyze the effect of sensor number and location.