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Related Concept Videos

Maximum Power Transfer01:16

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.
By substituting the entire circuit with...
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Conservation of AC Power01:15

Conservation of AC Power

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The principle of power preservation is applicable to both ac and dc circuits. This principle, when applied to AC power, asserts that the complex, real, and reactive powers produced by the source are equal to the total complex, real, and reactive powers absorbed by the loads. When two load impedances are connected in parallel to an ac source V, the complex power provided by the source can be calculated using the relation
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Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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Reducing Line Loss01:18

Reducing Line Loss

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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
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Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

690
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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Power Factor Correction01:20

Power Factor Correction

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The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
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Related Experiment Video

Updated: Mar 13, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Dynamic Power-Saving Method for Wi-Fi Direct Based IoT Networks Considering Variable-Bit-Rate Video Traffic.

Meihua Jin1, Ji-Young Jung2, Jung-Ryun Lee3

  • 1School of the Electrical Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea. mhkim0705@cau.ac.kr.

Sensors (Basel, Switzerland)
|October 19, 2016
PubMed
Summary

This study introduces a new algorithm to improve Wi-Fi Direct power saving for the Internet of Things (IoT). The enhanced method efficiently manages energy consumption, especially for multimedia video traffic, outperforming traditional power-saving techniques.

Keywords:
Internet of Things (IoT)Wi-Fi Directpower-savingvideo traffic

Related Experiment Videos

Last Updated: Mar 13, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Wireless Communication

Background:

  • Wi-Fi Direct is a key technology for Internet of Things (IoT) enabling direct device-to-device communication.
  • Efficient energy management is crucial for portable Wi-Fi Direct devices, particularly for the Group Owner (GO).
  • Existing Wi-Fi Direct power-saving methods include Opportunistic and Notice of Absence (NoA).

Purpose of the Study:

  • To propose an enhanced algorithm for Wi-Fi Direct power saving tailored for multimedia video traffic.
  • To improve energy efficiency and reduce average delay in Wi-Fi Direct networks.

Main Methods:

  • Developed a novel algorithm leveraging statistical distributions of video frame sizes.
  • Dynamically adjusts awake interval lengths within beacon intervals.
  • Prioritizes transmission of high-priority video frames based on inter-frame dependencies.

Main Results:

  • The proposed algorithm demonstrates superior performance compared to the traditional Notice of Absence (NoA) method.
  • Achieved significant improvements in both average delay and energy efficiency.
  • Effectively manages power consumption for video-intensive IoT applications.

Conclusions:

  • The developed algorithm offers a more energy-efficient solution for Wi-Fi Direct power saving in IoT.
  • It effectively handles the unique characteristics of multimedia video traffic.
  • Provides a foundation for more robust and power-aware wireless IoT networks.