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Related Concept Videos

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Maximum Power Transfer

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Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
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In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
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Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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Advanced Monitoring Systems Based on Battery-Less Asset Tracking Modules Energized through RF Wireless Power

Roberto La Rosa1,2, Catherine Dehollain2, Patrizia Livreri3

  • 1STMicroelectronics, Stradale Primosole 50, 95121 Catania, Italy.

Sensors (Basel, Switzerland)
|May 30, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a battery-less wireless sensor network (WSN) system for asset tracking and speed monitoring. It utilizes radio frequency wireless power transfer (RF WPT) for energy, enabling maintenance-free operation and accurate data collection.

Keywords:
energy harvestinginternet of thingsradio frequencywireless battery chargerwireless power transferwireless sensor networkswptwsns

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Area of Science:

  • Wireless Sensor Networks
  • Embedded Systems
  • RF Engineering

Background:

  • Accurate asset tracking and transportation data are crucial for logistics and supply chain management.
  • Existing systems often require maintenance or have limited deployment environments.
  • Battery-less sensor nodes offer a sustainable and low-maintenance solution for continuous monitoring.

Purpose of the Study:

  • To present an innovative system for asset identification and speed monitoring using battery-less wireless sensor network (WSN) tags.
  • To develop a radio frequency wireless power transfer (RF WPT) architecture for powering WSN nodes.
  • To introduce a novel measurement approach for time-domain speed readouts and optimize system design.

Main Methods:

  • Design and assessment of a system on chip (SoC) for RF to DC power conversion in WSN nodes.
  • Development of a unique measurement approach for generating time-domain speed readouts.
  • Creation of a design optimization model to determine the required number of readers for reliable asset tracking and speed measurement.
  • Experimental validation of the proposed system's performance and viability.

Main Results:

  • An innovative RF to DC conversion solution addressing challenges in power conversion efficiency (PCE) and sensitivity.
  • Demonstration of a system capable of identifying assets and monitoring their speeds using battery-less WSN tags.
  • Successful model validation through specific tests and experimental results confirming system viability.
  • Achieved maintenance-free operation and enhanced deployment flexibility for asset tracking.

Conclusions:

  • The proposed system offers a viable and advanced solution for asset identification and speed monitoring in WSNs.
  • Battery-less RF WPT technology enables reliable, low-maintenance asset tracking in diverse environments.
  • The developed SoC and measurement approach overcome key technical challenges in wireless power and data acquisition.