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This study introduces an Adaptive Chaotic Gaussian Lens Snake Optimization Algorithm (ACGLSOA) to improve soil temperature wireless sensor networks (STWSNs) in cotton fields. ACGLSOA significantly enhances network coverage and node efficiency compared to existing methods.

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Area of Science:

  • Agricultural Engineering
  • Computer Science
  • Optimization Algorithms

Background:

  • Soil Temperature Wireless Sensor Networks (STWSNs) are crucial for precision agriculture, particularly in cotton cultivation.
  • Existing heuristic algorithms struggle to maximize coverage while minimizing sensor nodes in STWSNs.
  • There is a need for advanced optimization techniques to improve STWSN deployment efficiency.

Purpose of the Study:

  • To introduce the Adaptive Chaotic Gaussian Lens Snake Optimization Algorithm (ACGLSOA) for optimizing STWSN deployment.
  • To enhance network coverage and node utilization efficiency in agricultural sensor networks.
  • To overcome the limitations of current heuristic algorithms in STWSN design.

Main Methods:

  • Developed ACGLSOA by integrating novel adaptive factors for local search and chaos operators for refining solutions.
  • Employed an improved Gaussian operator and a lens reflection mechanism to expand the search space for better global performance.
  • Evaluated ACGLSOA's performance against established algorithms like SO, ABC, RIME, and PSO.

Main Results:

  • ACGLSOA achieved a network coverage of 98.91% and a node utilization efficiency of 73.8% for STWSNs.
  • Demonstrated significant improvements over SO, ABC, RIME, and PSO in both coverage and node utilization efficiency.
  • ACGLSOA provided coverage improvements of up to 29.68% and efficiency enhancements up to 22.13% over comparative algorithms.

Conclusions:

  • ACGLSOA offers a superior approach for deploying STWSNs, achieving high coverage with efficient node usage.
  • The proposed algorithm effectively addresses the limitations of existing methods in optimizing sensor network placement for agriculture.
  • ACGLSOA represents a significant advancement in applying optimization techniques to agricultural wireless sensor networks.