Review on Localization Algorithm in Underwater Sensor Network

Ritu Bhardwaj, Ashwani kush

2024

Abstract

This review paper provides a comprehensive examination of localization algorithms in underwater sensor networks (UWSNs), addressing the unique challenges posed by the aquatic environment, such as severe signal attenuation, multipath propagation, node mobility due to water currents, and significant energy constraints. It categorizes the localization algorithms into time-of-arrival (TOA), time-difference-of-arrival (TDOA), received signal strength indicator (RSSI), angle-of-arrival (AOA), and hybrid and collaborative approaches, highlighting their operational mechanisms, advantages, and limitations. Furthermore, the paper discusses the current trends and future directions in UWSNs localization, including the integration of machine learning techniques and the potential for enhancing localization accuracy through the use of auxiliary information like ocean current models. Through an analysis of existing literature and a discussion on the environmental challenges and technical limitations of underwater communication technologies, this paper aims to provide insights into the advancements and remaining hurdles in the field of UWSN localization, contributing to a deeper understanding of its critical role in enhancing the capabilities and applications of underwater sensor networks.

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Paper Citation


in Harvard Style

Bhardwaj R. and kush A. (2024). Review on Localization Algorithm in Underwater Sensor Network. In Proceedings of the 1st International Conference on Cognitive & Cloud Computing - Volume 1: IC3Com; ISBN 978-989-758-739-9, SciTePress, pages 257-265. DOI: 10.5220/0013343100004646


in Bibtex Style

@conference{ic3com24,
author={Ritu Bhardwaj and Ashwani kush},
title={Review on Localization Algorithm in Underwater Sensor Network},
booktitle={Proceedings of the 1st International Conference on Cognitive & Cloud Computing - Volume 1: IC3Com},
year={2024},
pages={257-265},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013343100004646},
isbn={978-989-758-739-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Cognitive & Cloud Computing - Volume 1: IC3Com
TI - Review on Localization Algorithm in Underwater Sensor Network
SN - 978-989-758-739-9
AU - Bhardwaj R.
AU - kush A.
PY - 2024
SP - 257
EP - 265
DO - 10.5220/0013343100004646
PB - SciTePress