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ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks.

Feng Zhou1,2,3, Yushi Li4,5,6, Hejun Wu7,8

  • 1Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China. zhoufeng@hrbeu.edu.cn.

Sensors (Basel, Switzerland)
|March 27, 2019
PubMed
Summary

This study introduces ProLo, an adaptive localization scheme for underwater sensor networks. ProLo accurately determines 3D positions using only range measurements, even with unpredictable sensor movement.

Keywords:
global rigiditylocalizationmobile nodeunderwater sensor networks

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Area of Science:

  • Robotics
  • Sensor Networks
  • Underwater Acoustics

Background:

  • Underwater mobile sensor networks (UMSNs) face localization challenges due to unpredictable sensor drift caused by water currents.
  • Inaccurate motion devices and the absence of GPS hinder precise 3D positioning in underwater environments.

Purpose of the Study:

  • To develop an adaptive 3D localization scheme for UMSNs that accounts for sensor drift and measurement uncertainties.
  • To enable accurate positioning using only range measurements, eliminating the need for GPS.

Main Methods:

  • The proposed ProLo scheme leverages rigidity theory to maintain a virtual rigid structure through projection.
  • It adaptively addresses uncertainties in sensor node movement and measurement errors.

Main Results:

  • The correctness of the ProLo 3D localization scheme has been mathematically proven.
  • Simulations confirm ProLo's effectiveness in diverse underwater sensor network scenarios with noise and errors.

Conclusions:

  • The ProLo scheme demonstrates significant promise for real-world mobile underwater sensor network applications.
  • It offers a robust solution for accurate 3D localization despite environmental challenges and sensor inaccuracies.