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Underwater Wireless Sensor Networks with RSSI-Based Advanced Efficiency-Driven Localization and Unprecedented

Kaveripakam Sathish1, Ravikumar Chinthaginjala1, Wooseong Kim2

  • 1School of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, India.

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Summary
This summary is machine-generated.

This study introduces a new deep-sea object localization strategy for underwater wireless sensor networks (UWSNs). The method improves accuracy by accounting for sensor timing issues and using Received Signal Strength Indicator (RSSI) for precise positioning.

Keywords:
RSSITDOATOAUWSNlocalizationmean estimation error

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Area of Science:

  • Marine Technology
  • Underwater Acoustics
  • Sensor Networks

Background:

  • Deep-sea object localization is crucial for underwater communication and navigation.
  • Underwater Wireless Sensor Networks (UWSNs) face challenges due to environmental variability and sensor limitations.
  • Accurate localization relies on parameters like sensor placement, signal quality, and chosen algorithms (AOA, TDoA, RSSI).

Purpose of the Study:

  • To develop a critical localization strategy for deep-sea objects using UWSNs.
  • To address challenges of imperfect temporal synchronization and variable sound speed in underwater environments.
  • To enhance localization accuracy and efficiency in dynamic underwater conditions.

Main Methods:

  • Utilized beacon nodes for arrival distance validation in sensor localization.
  • Accounted for temporal desynchronization among sensor nodes.
  • Incorporated variations in sound speed based on the medium.
  • Simulated system performance, measuring mean localization errors and their variations.

Main Results:

  • The proposed system achieves high localization accuracy.
  • The strategy effectively accounts for temporal synchronization issues.
  • Localization using Received Signal Strength Indicator (RSSI) demonstrated a lower Mean Estimation Error (MEE).

Conclusions:

  • The developed localization strategy enhances precision and accuracy in UWSNs.
  • RSSI-based measurements offer superior accuracy for deep-sea object localization.
  • The system's ability to handle temporal synchronization and environmental factors is validated by simulations.