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  • 1College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.

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Summary
This summary is machine-generated.

This study introduces an intelligent method to boost energy efficiency in secure wireless sensor networks using wireless power transfer (WPT). The approach optimizes UAV parameters for robust data collection against interference.

Keywords:
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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Security

Background:

  • The proliferation of Internet of Things (IoT) devices necessitates energy-efficient and secure communication solutions.
  • Wireless sensor networks (WSNs) face challenges in power management and data security, especially with mobile data collectors like unmanned aerial vehicles (UAVs).
  • Wireless Power Transfer (WPT) offers a promising solution for sustainable energy supply in WSNs.

Purpose of the Study:

  • To propose an intelligent approach for maximizing UAV energy efficiency in secure WSNs with WPT.
  • To enhance the security and robustness of data transmission against malicious interference.
  • To optimize the joint parameters of charging and data transmission for UAVs.

Main Methods:

  • Formulation of a constrained optimization problem to jointly optimize charging power, charging duration, and data transmission duration.
  • Application of the Deep Deterministic Policy Gradient (DDPG) algorithm to train an action policy for real-time parameter optimization.
  • Utilization of Code Division Multiple Access (CDMA) to improve the robustness of uplink communication.

Main Results:

  • The proposed intelligent approach significantly enhances UAV energy efficiency compared to traditional methods.
  • The DDPG algorithm effectively determines near-optimal transmission parameters dynamically.
  • The system demonstrates superior performance in secure data decoding under malicious interference.

Conclusions:

  • The developed intelligent approach provides an effective strategy for green and secure wireless-powered sensor networks.
  • Dynamic optimization of transmission parameters is crucial for energy efficiency in UAV-assisted WSNs.
  • This research offers valuable guidelines for designing sustainable and secure IoT networks.