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Dynamic Barrier Coverage in a Wireless Sensor Network for Smart Grids.

Fei Fan1, Qiaoling Ji2, Gongping Wu3

  • 1School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China. fei-fan@whu.edu.cn.

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|December 26, 2018
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Summary
This summary is machine-generated.

This study introduces a dynamic barrier coverage method integrating inspection robots and wireless sensor networks for efficient smart grid monitoring. The approach ensures low-cost, energy-saving, and dynamic sensing for transmission lines.

Keywords:
barrier coveragedelay-tolerant sensor networkdistributed algorithminspection robotordinal potential gamereal-time networksmart gridwireless sensor network

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Area of Science:

  • Engineering
  • Computer Science

Background:

  • Smart grid monitoring relies on technologies like inspection robots (IR) and wireless sensor networks (WSN).
  • Integrating IR into WSN for efficient dynamic transmission line monitoring remains a significant challenge.

Purpose of the Study:

  • To propose a dynamic barrier coverage (DBC) method for integrating inspection robots and wireless sensor networks.
  • To establish a low-cost, energy-saving, and dynamic smart grid-oriented sensing system.

Main Methods:

  • Development of a dynamic barrier coverage method for mobile wireless sensor networks.
  • Design of effective and safe dynamic network coverage and node deployment strategies.
  • Simulation scenarios to analyze network performance variations with different parameters.

Main Results:

  • The proposed DBC method effectively integrates inspection robots and WSN for dynamic transmission line monitoring.
  • Simulations demonstrate the method's ability to balance network performance with financial costs.
  • The system achieves low-cost and energy-saving smart grid monitoring.

Conclusions:

  • The dynamic barrier coverage method offers a viable solution for efficient smart grid monitoring systems.
  • This research contributes to the development of advanced sensing systems for transmission line inspection.
  • The proposed approach balances performance, cost, and energy efficiency in smart grid applications.