Adaptive Monitoring and Management of Capacitive Wireless Power Transfer Via Huffman Compression and Control Optimization

Abstract

This paper proposes an adaptive monitoring and management system for capacitive wireless power transfer (CPT) to enhance power supply reliability and efficiency. Utilizing Huffman coding, the system significantly reduces transmission bandwidth requirements while improving data compression rates. Through real-time adjustments of capacitive coupling loop parameters, the system ensures stable transmission across various environments. Experimental verification demonstrates that this approach adaptively adjusts transmission power based on load and coupling capacitance changes, maintaining energy conversion efficiency above 85% and achieving a compression rate exceeding 30%. The algorithm markedly decreases transmission delay, exhibiting robustness and rapidity. This system offers a viable solution for implementing CPT technology within the Internet of Things, holding substantial engineering application value. The proposed method was tested across 50 sensor nodes deployed in a simulated IoT environment, with results compared against conventional methods such as LZW compression and fixed-parameter control.

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Authors

  • Chaoyi Luo School of Opto-electronic and Communication Engineering, Xiamen University of Technology; Fujian Key Laboratory of Opto-electronic Technology and Devices

DOI:

https://doi.org/10.31449/inf.v49i29.8985

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Published

07/21/2025

How to Cite

Luo, C. (2025). Adaptive Monitoring and Management of Capacitive Wireless Power Transfer Via Huffman Compression and Control Optimization. Informatica, 49(29). https://doi.org/10.31449/inf.v49i29.8985

Issue

Vol. 49 No. 29 (2025): Online-only issue

Section

Online-only

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