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A High-Efficiency Uneven Cluster Deployment Algorithm Based on Network Layered for Event Coverage in UWSNs.

Shanen Yu1, Shuai Liu2, Peng Jiang3

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

Sensors (Basel, Switzerland)
|December 16, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces an uneven cluster deployment algorithm for underwater wireless sensor networks (UWSNs). The novel approach enhances network reliability and extends operational life by balancing energy consumption and improving coverage.

Keywords:
event coveragelayeredrecovery strategyunderwater wireless sensor networks (UWSNs)uneven cluster

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Oceanography

Background:

  • Existing underwater wireless sensor network (UWSN) deployment algorithms fail to account for the 3D environment's non-uniform communication characteristics.
  • This leads to imbalanced energy consumption, reduced network performance, and unreliable operation due to varying node depths and data acquisition probabilities.

Purpose of the Study:

  • To propose an uneven cluster deployment algorithm for event coverage in UWSNs.
  • To address energy imbalance and improve network reliability and longevity.

Main Methods:

  • Theoretical analysis and deduction to determine optimal node deployment and density per layer based on energy consumption requirements.
  • Division of the network into multilayers using uneven clusters with heterogeneous communication radii.
  • Implementation of a recovery strategy for energy balancing and network topology reconstruction.

Main Results:

  • The proposed algorithm enhances network connectivity and coverage rates.
  • Simulation results demonstrate improved network reliability and prolonged network lifetime.
  • Significant reduction in blind node movement while maintaining high coverage and connectivity.

Conclusions:

  • The uneven cluster deployment algorithm effectively addresses the limitations of existing UWSN deployment strategies.
  • The method ensures a high network coverage and connectivity rate over extended data acquisition periods.
  • The approach contributes to more robust and efficient underwater wireless sensor networks.