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A Mobile Wireless Sensor Coverage Optimization Method for Bridge Monitoring.

Cong Mu1, Jiguang Yang1, Jiuyuan Huo1,2

  • 1School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.

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Summary
This summary is machine-generated.

This study introduces an enhanced coverage strategy for heterogeneous mobile wireless sensor networks using an improved Hiking Optimization Algorithm. The VF-GPTHOA significantly boosts bridge structural health monitoring coverage rates, outperforming existing methods.

Keywords:
bridge monitoringcoverage optimizationheterogeneous mobile wireless sensorhiking optimization algorithm

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Area of Science:

  • Engineering
  • Computer Science
  • Network Optimization

Background:

  • Bridge structural health monitoring requires efficient resource allocation in heterogeneous mobile wireless sensor networks.
  • Optimizing sensor deployment and movement is crucial for comprehensive monitoring.

Purpose of the Study:

  • To propose an enhanced coverage strategy for heterogeneous mobile wireless sensor networks.
  • To improve resource allocation and network coverage for bridge structural health monitoring.

Main Methods:

  • An improved Hiking Optimization Algorithm (GPTHOA) integrating Good Point Set theory and t-distribution perturbation.
  • A virtual force-guided coverage enhancement strategy (VF-GPTHOA) for heterogeneous mobile wireless sensor networks.
  • Optimization of node deployment and movement trajectories to minimize distance.

Main Results:

  • The VF-GPTHOA achieved a 97.07% coverage rate in a bridge model with 60 heterogeneous sensors.
  • Demonstrated significant improvements over DE, MA, GWO, SSA, and HOA algorithms.
  • Maintained optimal coverage performance in dynamic node scale scenarios.

Conclusions:

  • The VF-GPTHOA offers a robust and effective solution for enhancing coverage in heterogeneous mobile wireless sensor networks.
  • The proposed strategy is applicable and beneficial for practical engineering applications in bridge structural health monitoring.