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A Depth-Adjustment Deployment Algorithm Based on Two-Dimensional Convex Hull and Spanning Tree for Underwater

Peng Jiang1, Shuai Liu2, Jun Liu3

  • 1College of Automation, Hangzhou Dianzi University, Hangzhou 310018, China. pjiang@hdu.edu.cn.

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Summary

This study introduces a new algorithm for underwater wireless sensor networks (UWSNs) that improves network reliability and coverage. The NDACS algorithm ensures full network connectivity and enhances energy efficiency for better underwater deployments.

Keywords:
full network connectivitynetwork reliabilityspanning treetime markertwo-dimensional convex hullunderwater wireless sensor networks (UWSNs)

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Marine Technology

Background:

  • Existing algorithms for underwater wireless sensor networks (UWSNs) often neglect full network connectivity, focusing primarily on coverage and connectivity rates.
  • Optimization of energy efficiency and network reliability are critical challenges in UWSN deployment.

Purpose of the Study:

  • To propose a novel depth-adjustment deployment algorithm, NDACS, for UWSNs that addresses limitations in existing methods.
  • To enhance network reliability, coverage, and energy efficiency in UWSN deployments.

Main Methods:

  • The proposed algorithm utilizes a two-dimensional (2D) convex hull and spanning tree (NDACS) approach.
  • It employs geometric properties of 2D convex hulls and empty circles to optimize node activation and minimize coverage overlaps.
  • A depth-adjustment strategy based on time markers facilitates 3D network deployment.

Main Results:

  • The NDACS algorithm successfully maintains full network connectivity.
  • It achieves a high network coverage rate and improves the network average node degree.
  • Simulation results demonstrate enhanced network reliability compared to existing algorithms.

Conclusions:

  • The NDACS algorithm offers a significant improvement for UWSN deployment strategies.
  • It effectively balances network coverage, connectivity, and reliability.
  • This approach provides a robust solution for establishing efficient and dependable underwater sensor networks.