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Related Concept Videos

Applications of RC Circuits01:22

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A relaxation oscillator is one of the applications of RC circuits. A neon lamp relaxation oscillator comprises a capacitor, a resistor, a voltage source, and a lamp. The lamp acts like an open circuit, with infinite resistance until the potential difference across the lamp reaches a specific voltage. At that voltage, the lamp acts like a short circuit with zero resistance, and the capacitor discharges through the lamp, thus producing light. Once the capacitor is fully discharged through the...
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A circuit containing resistance and capacitance is called an RC circuit. A capacitor is an electrical component that stores electric charge by storing energy in an electric field. Consider a simple RC circuit having a DC (direct current) voltage source ε, a resistor R, a capacitor C, and a two-way position switch. In the circuit, the capacitor can be charged or discharged depending on the position of the switch.
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Updated: Jun 11, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Charging Scheduling Method for Wireless Rechargeable Sensor Networks Based on Energy Consumption Rate Prediction for

Songjiang Huang1, Chao Sha1, Xinyi Zhu1

  • 1School of Computer Science, Software and Cyberspace Security, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.

Sensors (Basel, Switzerland)
|September 28, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for Wireless Rechargeable Sensor Networks (WRSNs) to minimize event loss by balancing energy consumption and predicting node energy needs dynamically. The approach significantly reduces the event missing rate (EMR) in dynamic environments.

Keywords:
charging scheduling methodenergy consumption rate predictionevent missing rate minimizationnetwork topology constructionwireless rechargeable sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Rechargeable Sensor Networks (WRSNs) are increasingly used in diverse Internet of Things (IoT) applications.
  • Dynamic changes in sensor node energy consumption pose challenges for existing charging scheduling methods.
  • Inaccurate energy requirement estimation can lead to critical node failure and event loss.

Purpose of the Study:

  • To develop a charging scheduling method for WRSNs that addresses dynamic energy consumption and spatial imbalance.
  • To minimize the Event Missing Rate (EMR) by accurately predicting node energy needs.
  • To ensure network stability and reliability in scenarios with fluctuating energy demands.

Main Methods:

  • Proposed an Energy Consumption Balanced Tree (ECBT) construction to extend node lifetime.
  • Transformed the problem into Maximizing the Evaluation of each node's Energy Consumption Rate prediction (MEECR).
  • Solved the MEECR problem, a variant of the knapsack problem, using dynamic programming and developed a charging scheme (DCNM) considering node energy needs and mobile charger capabilities.

Main Results:

  • The proposed method effectively balances spatial and temporal energy consumption dynamics.
  • Accurate prediction of node energy consumption rates was achieved.
  • The developed charging scheduling scheme (DCNM) met dual constraints of node requirements and mobile charger capabilities.

Conclusions:

  • The novel charging scheduling method significantly reduces the Event Missing Rate (EMR) in WRSNs with dynamic energy consumption.
  • The approach outperforms existing methods, showing average EMR reductions of 35.2% and 26.9%.
  • This work provides a robust solution for reliable WRSN operation in demanding IoT applications.