Dimensionality determination of unknown deployed underwater sensor network (UWSN) using cost function

Abstract

Summary This paper proposes a novel estimation technique for dimensionality of deployed underwater sensor network (UWSN). In order to obtain the dimension, probing requests are sent from two anchor nodes (i.e., receivers), which are placed inside the network through buoy, to sensor nodes. Then, the sensor nodes transmit Gaussian signal as feedback to the anchor nodes. The cross‐correlation function (CCF) is determined of these Gaussian signals, which varies according to network dimension. As reference, analytical CCF of five reference networks of different dimensions is determined. Thereafter, by comparing the CCFs of unknown and reference UWSN, cost function (CF) is obtained. The lowest value of CF attained by the specific combination of the one reference and the unknown network indicates that the dimension of these networks is identical. The dimension of two unknown deployed networks is investigated to demonstrate the feasibility of the proposed technique. From the illustrated results, it is justified that the new strategy can provide correct information about the dimension of the deployed network.

Cross-correlation based approach for counting nodes of undersea communications network considering limited bandwidth

“…So far, three estimation schemes are investigated using CC. They are: two-sensor scheme [25]- [28], three sensor schemes with SL (sensors in line) approach [29] and TS (triangular sensors) approach [30]. System models of these estimation schemes are shown in The estimation procedure initiates as sensors emit probe requests to N nearby nodes.…”

“…To tackle the problem of protocol complexity in estimating underwater network size, Anower et al [25]- [28] and Chowdhury et al [29], [30] propose a new CC-based scheme utilizing two and three probing nodes (sensors), respectively. These schemes employ a straightforward probing protocol and are unaffected by the capture effect.…”