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A wireless sensor network for coal mine safety powered by modified localization algorithm.

Hafiz Zameer Ul Hassan1, Anyi Wang1, Ghulam Mohi-Ud-Din2

  • 1College of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an, 710054, China.

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Summary
This summary is machine-generated.

This study introduces a modified precise Distance Vector-Hop localization algorithm to improve safety in coal mines. The enhanced algorithm offers better communication range and accuracy for real-time monitoring of gas leaks and temperature.

Keywords:
Coal mining industryDV (Distance Vector)-Hop localization algorithmMATLABModified preciseSafety alertSafety parameters

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Area of Science:

  • Mining Engineering
  • Wireless Sensor Networks
  • Safety Systems

Background:

  • Underground coal mining presents significant safety challenges, including communication limitations, gas leaks, temperature fluctuations, and difficulties in real-time worker tracking.
  • Existing localization methods in mining environments suffer from weak communication ranges due to complex infrastructure, hindering effective safety monitoring.
  • Accidents in coal mines lead to substantial loss of life and economic impact, highlighting the need for improved safety technologies.

Purpose of the Study:

  • To develop and evaluate a modified precise Distance Vector-Hop localization algorithm for enhanced safety monitoring in underground coal mines.
  • To address the limitations of existing communication and localization methods in hazardous mining environments.
  • To improve the accuracy and communication range of sensor networks for real-time detection of environmental anomalies.

Main Methods:

  • The research proposes a modified precise DV-Hop localization algorithm, utilizing anchor and sensor nodes for data collection.
  • Key parameters analyzed include network, localization algorithm, simulation, and safety monitoring parameters to detect abnormal environmental conditions.
  • MATLAB simulation was employed to compare the proposed algorithm against the traditional DV-Hop localization algorithm.

Main Results:

  • The proposed modified precise DV-Hop algorithm demonstrates a higher communication range and accuracy compared to existing methods.
  • The model effectively detects sensor nodes within and outside threshold values, indicating robust environmental monitoring capabilities.
  • Simulation results show that the modified precise DV-Hop localization algorithm achieves higher performance accuracy than traditional approaches.

Conclusions:

  • The modified precise DV-Hop localization algorithm offers a significant improvement in localization accuracy and communication range for underground coal mines.
  • The proposed system enhances safety by enabling real-time alerts for critical conditions like gas leaks and high temperatures.
  • This research provides a more reliable and efficient solution for monitoring and managing safety in hazardous mining environments.