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EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs).

Bin Wang1, Kerong Ben1, Haitao Lin1

  • 1College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China.

Sensors (Basel, Switzerland)
|July 28, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an edge prediction-based adaptive data transmission algorithm (EP-ADTA) for underwater wireless sensor networks. EP-ADTA ensures efficient and reliable data transmission by adapting to environmental changes and application needs.

Keywords:
auto regressive and moving average (ARMA)edge computingintelligent routing algorithmreinforcement learning (RL)underwater monitoring applicationsunderwater wireless sensor networks (UWSNs)

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Area of Science:

  • Computer Science
  • Marine Engineering
  • Network Engineering

Background:

  • Underwater wireless sensor networks (UWSNs) are crucial for 3D monitoring but face challenges like high bit error rates, delay, low bandwidth, limited energy, and high dynamism.
  • Efficient and reliable data transmission in UWSNs is difficult due to these inherent limitations.

Purpose of the Study:

  • To propose a novel data transmission algorithm that integrates application requirements with the transmission environment for UWSNs.
  • To develop an adaptive algorithm that dynamically adjusts to underwater conditions and monitoring needs.

Main Methods:

  • An edge prediction-based adaptive data transmission algorithm (EP-ADTA) was designed using an end-edge-cloud architecture.
  • Communication nodes act as agents for data prediction and compression via edge prediction.
  • Reinforcement learning is employed to dynamically select transmission routes and control data transmission accuracy.

Main Results:

  • EP-ADTA demonstrated the ability to meet the accuracy requirements of underwater monitoring applications.
  • The algorithm successfully adapted dynamically to changes in the underwater transmission environment.
  • Efficient and reliable data transmission was achieved in simulated UWSNs.

Conclusions:

  • The proposed EP-ADTA algorithm offers a robust solution for data transmission in challenging UWSN environments.
  • Integrating application-specific needs with environmental adaptability is key for effective UWSN data transmission.
  • EP-ADTA provides a promising approach for enhancing the performance of underwater monitoring systems.