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Research Articles

Position Computation of Underwater Target Using Geodesic Curvature for Sub-Aquatic Internet of Underwater Things

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Pages 214-236 | Received 20 Feb 2024, Accepted 20 Feb 2024, Published online: 15 Apr 2024
 

Abstract

To estimate the accurate position of the target, the geodesic curvature of the transmitter sensor is proposed in the present work. The geodesic curvature of the transmitter sensor traces the motion of a sensor as the shortest distance along a curved path, which measures the optimal distance on a curved path, accurate measurement of moving targets in an environment with complex geodesics, enhances the realism of the simulation, and underwater surveillance. Theorem 2.1 describes the geodesic curvature between the transmitter sensor and the target. A proposed non-cooperative moving target state measurement (NMTSM) algorithm quantifies the degradation of localization performance and mitigates the stratification effect and geodesic spreading losses. The localization error, localization error variance, and localization accuracy with respect to the number of anchor nodes are compared with standard methods. The proposed non-cooperative moving target state measurement (NMTSM) algorithm improves the localization performance by 33.46% and reduces position MSE by 35.46%, and velocity MSE by 38.86% up to 650 meters. It reduces the localization error by 32.23%, the localization error variance by 34.86% and improves the localization accuracy by 42.21%. The proposed algorithm is useful for the sub-aquatic Internet of Underwater Things (IoUT).

Disclosure statement

No potential conflict of interest was reported by the author(s).

CRediT authorship contribution statement

Tippireddy Srinivasa Reddy: Methodology, Software, Formal analysis, Writing original draft. Rajeev Arya: Conceptualization, Visualization, Investigation, Supervision, Writing Prateek: Review & editing.

Consent to publish

All authors have read and agreed to the published version of the manuscript.

Data availability statement

Data sharing is not applicable to this article as no datasets were generated during the current study.

Additional information

Funding

The authors acknowledge the support of the Ministry of Electronics and Information Technology, Government of India, File no. 13(29)/2020-CC&BT.

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