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Enabling Semantic-Functional Communications for Multiuser Event Transmissions via Wireless Power Transfer.

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Summary

This study introduces a novel method for sensor networks to recover information from battery charge using semantic-functional communication and radio frequency-based energy harvesting (RF-EH). This approach addresses battery limitations in the Internet of Things (IoT) by enabling simultaneous charging and data decoding.

Keywords:
energy harvestingevent-based communicationssemantic-functional communicationswireless power transfer

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Wireless Communication

Background:

  • Large-scale sensor networks and the Internet of Things (IoT) face challenges with battery capacity and recharging.
  • Radio frequency-based energy harvesting (RF-EH) offers a solution for low-power networks where traditional charging is impractical.
  • Existing methods treat energy harvesting separately from data transmission and reception, limiting efficiency.

Purpose of the Study:

  • To propose a novel method for recovering information from battery charge in sensor networks.
  • To design an event-driven sensor network utilizing semantic-functional communication and RF-EH.
  • To enable simultaneous battery charging and information decoding.

Main Methods:

  • Developed a semantic-functional communication framework for sensor networks.
  • Integrated radio frequency-based energy harvesting (RF-EH) for battery recharging.
  • Investigated system performance using metrics like event signaling, detection, battery status, signaling success rates, and Age of Information (AoI).

Main Results:

  • Demonstrated a system where information can be recovered from battery charge.
  • Evaluated the effectiveness of RF-EH in an event-driven sensor network.
  • Analyzed the relationship between key parameters and system behavior through a case study.

Conclusions:

  • The proposed method enables efficient information recovery and battery charging in sensor networks.
  • The integration of semantic-functional communication with RF-EH addresses critical IoT power challenges.
  • Numerical results validate the effectiveness and feasibility of the developed system.