A Comparative Study of Range Based and Range Free Algorithm for Node Localization in Underwater

e-Prime - Advances in Electrical Engineering Electronics and Energy, Год журнала: 2024, Номер 9, С. 100727 - 100727

Опубликована: Авг. 15, 2024

• Localization of underwater localization wireless sensor networks. Range-based algorithm for node in underwater. Range free Parameters considered The exploration surfaces and their monitoring has become an emerging field interest many researchers. is a crucial task the Underwater Wireless Sensor Network (UWSN). In comparison to terrestrial nodes, localizing nodes more difficult. UWSN, communication signals between challenging due acoustic position tends move strong water current deep sea whereas are static comparatively easier. Strategic surveillance relies on accurate UWSN follow assets activities. Addressing issues improves situational awareness, disaster response, mitigation areas. We reviewed Range-Based Range-Free algorithms from numerous research articles discussed trade-offs improvement opportunities. comparative analysis was made based various parameters like coverage area, density network, energy consumption, error computational complexity. performance helps researchers decide best or improve available UWSN.

Язык: Английский

---

Energy-efficient unequal multi-level clustering for underwater wireless sensor networks

Alexandria Engineering Journal, Год журнала: 2024, Номер 111, С. 33 - 46

Опубликована: Окт. 19, 2024

Язык: Английский

---

Exploration of contemporary modernization in UWSNs in the context of localization including opportunities for future research in machine learning and deep learning

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 15, 2025

The exchange of information in Wireless Sensor Networks (WSNs) across different environments, whether they are above the ground, underground, underwater, or space has advanced significantly over time. Among these advancements, precise localization nodes within network remains a key and vital challenge. In context Underwater (UWSNs), plays pivotal role enabling efficient execution diverse underwater applications such as environmental monitoring, disaster management, military surveillance many more. This review article is focusing on three primary aspects, first section focuses fundamentals UWSNs, providing an depth comprehensive discussion various methods. Where we have highlighted two main categories that anchor based free along with their respective subcategories. second this examines challenges may emerge during implementation process. To enhance clarity structure, been carefully analyzed categorized into groups are, (i) Algorithmic challenges, (ii) Technical (iii) Environmental challenges. third begins by presenting latest advancements UWSNs localization, followed exploration how Machine Learning (ML) Deep (DL) models can contribute enhancing evaluate potential benefits ML DL techniques, assessed performance through simulations, metrics error, velocity estimation Root Mean Square Error (RMSE), energy consumption. also aims to provide actionable insights guideline for future research directions opportunities practitioners field localization. Which will ultimately help reliability advancing techniques promoting seamless integration.

Язык: Английский

---

Design and Analysis of Piezoelectric Energy Harvester for Wireless Sensor Networks

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 239 - 254

Опубликована: Окт. 17, 2024

Язык: Английский

---

Evaluation of a double-lens dielectric radome using a microstrip patch antenna for electromagnetic applications

Ain Shams Engineering Journal, Год журнала: 2024, Номер unknown, С. 103151 - 103151

Опубликована: Ноя. 1, 2024

Язык: Английский

---

MEMS Design Process Based Simulation and Analysis of a Hypothetical Sensor Design with Electromechanics Interface

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 221 - 238

Опубликована: Окт. 17, 2024

Язык: Английский

---