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October 13, 2025International Journal of Mathematical Engineering and Management Sciences

Hybrid Optimized 3D Localization for WSN-Assisted IoT Networks in Smart Agriculture

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Authors

HSHina SinghPYPreeti YadavVRVinay Rishiwal

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Overview

Novel method enhances 3D localization accuracy and energy efficiency in WSN-assisted IoT networks, highlighting anomaly detection and optimization.

Key Points

  • The hybrid scheme achieves low localization errors of 1.2 meters, improving performance in smart agriculture.
  • Particle Swarm Optimization and Random Forest techniques significantly enhance energy efficiency and scalability of the system.
  • Anomaly detection is crucial in refining Received Signal Strength Indicator data, ensuring robust localization.
  • Simulation results indicate reduced energy consumption of 8–10 J and computation time under 0.5 seconds.

Cite This Study

Singh et al. (2025) studied this question.

synapsesocial.com/papers/68ed1896f29694dd1da78db8https://doi.org/10.33889/ijmems.2025.10.6.091
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