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September 5, 2025E3S Web of ConferencesOpen Access

Development an AI-Optimized RF Energy Harvesting for Sustainable IoT Networks: A Machine Learning Approach

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Authors

ACArvin De La CruzCCCherry D. CasuatGBGuillermo O. Bernabe

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Overview

Proposed AI-driven system improves energy efficiency and power adaptability in IoT networks, indicating significant advancements.

Key Points

  • Results show a 40% improvement in energy harvesting efficiency compared to traditional methods.
  • The AI-optimized system increases power adaptability by 50%, enhancing overall device performance.
  • Using machine learning algorithms, the system dynamically predicts energy availability for better outcomes.
  • Research contributes towards sustainable IoT infrastructures by leveraging AI in RF energy harvesting technologies.

Cite This Study

Cruz et al. (2025) studied this question.

synapsesocial.com/papers/68c23965b210217d6477b1achttps://doi.org/10.1051/e3sconf/202564303005
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