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A Distributed Data-Gathering Protocol Using AUV in Underwater Sensor Networks.

Jawaad Ullah Khan1, Ho-Shin Cho2

  • 1Department of Electronic Engineering, Kyungpook National University, Daegu 702-701, Korea. jawaad_khan@ee.knu.ac.kr.

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|August 20, 2015
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Summary
This summary is machine-generated.

This study introduces an energy-efficient data-gathering scheme for underwater sensor networks using an autonomous underwater vehicle (AUV). The novel approach reduces sensor node transmission power, extending network lifetime.

Keywords:
TDMAVoronoi regionautonomous underwater vehicleclusteringunderwater sensor network

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Area of Science:

  • Underwater sensor networks
  • Autonomous underwater vehicles (AUVs)
  • Wireless communication

Background:

  • Underwater sensor networks (UWSNs) face challenges in energy efficiency and network lifetime due to harsh environments.
  • Traditional data gathering methods using mobile sinks like AUVs can be energy-intensive.
  • Clustering is often employed to manage sensor nodes, but AUV path planning remains critical.

Purpose of the Study:

  • To propose a novel distributed data-gathering scheme for UWSNs using an AUV as a mobile sink.
  • To reduce the overall transmission power consumption of sensor nodes.
  • To enhance the network lifetime by optimizing the AUV's data collection path.

Main Methods:

  • A distributed data-gathering scheme utilizing an AUV as a mobile sink.
  • Identification and utilization of specific 'path-nodes' for AUV data collection.
  • Monte Carlo simulations to evaluate performance against existing techniques.

Main Results:

  • The proposed scheme significantly reduces total energy consumption in the sensor network.
  • Energy consumption is distributed more uniformly across sensor nodes.
  • Improved network lifetime compared to conventional AUV-based data gathering methods.

Conclusions:

  • The developed path-node based data-gathering scheme offers a more energy-efficient solution for UWSNs.
  • Optimized AUV routing enhances network longevity and performance.
  • This approach provides a viable strategy for sustainable underwater monitoring.