Titre :

Enhancement of Precise Underwater Object Localization

Auteur(s) :

Kaveripakam, Sathish [Auteur]
Chinthaginjala, Ravikumar [Auteur correspondant]
Anbazhagan, Rajesh [Auteur]
Alibakhshikenari, Mohammad [Auteur]
Universidad Carlos III de Madrid [Madrid] [UC3M]
Virdee, Bal [Auteur]
London Metropolitan University
Khan, Salahuddin [Auteur]
King Saud University [Riyadh] [KSU]
Pau, Giovanni [Auteur]
Università degli Studi di Enna " KORE " = Kore University of Enna
Hwang See, Chan [Auteur]
Edinburgh Napier University
Dayoub, Iyad [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Livreri, Patrizia [Auteur]
Università degli studi di Palermo - University of Palermo
Abd-Alhameed, Raed [Auteur]
University of Bradford

Titre de la revue :

Radio Science

Pagination :

e2023RS007782

Éditeur :

American Geophysical Union

Date de publication :

2023-09

ISSN :

0048-6604

Discipline(s) HAL :

Informatique [cs]/Traitement du signal et de l'image [eess.SP]

Résumé en anglais : [en]

Underwater communication applications extensively use localization services for object identification. Because of their significant impact on ocean exploration and monitoring, underwater wireless sensor networks (UWSN) are ...
Lire la suite >Underwater communication applications extensively use localization services for object identification. Because of their significant impact on ocean exploration and monitoring, underwater wireless sensor networks (UWSN) are becoming increasingly popular, and acoustic communications have largely overtaken radio frequency broadcasts as the dominant means of communication. The two localization methods that are most frequently employed are those that estimate the angle of arrival and the time difference of arrival. The military and civilian sectors rely heavily on UWSN for object identification in the underwater environment. As a result, there is a need in UWSN for an accurate localization technique that accounts for dynamic nature of the underwater environment. Time and position data are the two key parameters to accurately define the position of an object. Moreover, due to climate change there is now a need to constrain energy consumption by UWSN to limit carbon emission to meet net‐zero target by 2050. To meet these challenges, we have developed an efficient localization algorithm for determining an object position based on the angle and distance of arrival of beacon signals. We have considered the factors like sensor nodes not being in time sync with each other and the fact that the speed of sound varies in water. Our simulation results show that the proposed approach can achieve great localization accuracy while accounting for temporal synchronization inaccuracies. When compared to existing localization approaches, the mean estimation error (MEE) (MEE) and energy consumption figures, the proposed approach outperforms them. The MEEs is shown to vary between 84.2154 and 93.8275 m for four trials, 61.2256 and 92.7956 m for eight trials, and 42.6584 and 119.5228 m for 12 trials. Comparatively, the distance‐based measurements show higher accuracy than the angle‐based measurements.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet Européen :

CONcentrating EXcellence in UC3M - Postdoc Programme

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL