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Dimensionality determination of unknown deployed underwater sensor network (UWSN) using cost function
Author(s) -
Afrin Nadia,
Anower Shamim,
Islam Monirul
Publication year - 2020
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4537
Subject(s) - computer science , dimension (graph theory) , curse of dimensionality , gaussian , function (biology) , underwater , signal (programming language) , wireless sensor network , real time computing , computer network , artificial intelligence , mathematics , oceanography , physics , quantum mechanics , evolutionary biology , pure mathematics , biology , programming language , geology
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.