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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Energy harvesting based routing protocol for underwater sensor networks.

Adil Khan1, Mukhtaj Khan1, Sheeraz Ahmed2

  • 1Department of Computer Science, Abdul Wali Khan University, Mardan, KPK, Pakistan.

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Summary

This study introduces EH-ARCUN, a novel energy harvesting scheme for underwater sensor networks (UWSNs). EH-ARCUN enhances network reliability and efficiency by utilizing piezoelectric energy harvesting at relay nodes.

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Area of Science:

  • Environmental Science
  • Computer Science
  • Electrical Engineering

Background:

  • Underwater sensor networks (UWSNs) are crucial for environmental monitoring but face challenges with limited sensor node energy.
  • Efficient energy utilization is a persistent issue in UWSN deployment, impacting network performance metrics.
  • Existing cooperation-based UWSN routing lacks integrated energy harvesting mechanisms.

Purpose of the Study:

  • To propose a novel energy harvesting scheme, EH-ARCUN, for UWSNs.
  • To enhance balanced energy utilization and network reliability in UWSNs.
  • To improve the working capabilities of sensors through energy harvesting.

Main Methods:

  • The EH-ARCUN scheme utilizes piezoelectric energy harvesting at relay nodes.
  • It employs Amplify-and-Forward (AF) for data forwarding and Fixed Combining Ratio (FCR) for signal selection.
  • Relay nodes are selected based on their harvested energy levels.

Main Results:

  • EH-ARCUN demonstrates superior performance compared to ARCUN and RACE schemes.
  • Improvements were observed in stability period, packet delivery ratio, and network throughput.
  • Path loss was also reduced in the proposed scheme.

Conclusions:

  • EH-ARCUN effectively addresses energy limitations in UWSNs through cooperation and energy harvesting.
  • The scheme significantly improves key performance indicators for underwater sensor networks.
  • This approach offers a promising solution for sustainable UWSN operations.