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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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Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

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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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Mechanical Efficiency of Real Machines01:14

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The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
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Short-distance Transport of Resources02:12

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Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
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Distributed Loads: Problem Solving01:21

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
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Related Experiment Video

Updated: Dec 13, 2025

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

Published on: September 8, 2023

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Energy Versus Throughput Optimisation for Machine-to-Machine Communication.

Emma Fitzgerald1,2, Michał Pióro2, Artur Tomaszewski2

  • 1Department of Electrical and Information Technology, Lund University, 221 00 Lund, Sweden.

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

This study optimizes wireless mesh networks for machine-to-machine communication, balancing energy use and throughput. The novel model achieved simultaneous maximum throughput and minimum energy consumption in most tested scenarios.

Keywords:
IoTinteger programmingmachine-to-machine communicationmulticasttransmission schedulingwireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Optimization

Background:

  • Machine-to-machine (M2M) communication relies on wireless mesh networks.
  • Balancing energy efficiency and data throughput is crucial for M2M networks.

Purpose of the Study:

  • To develop a novel optimization model for wireless mesh networks in M2M communication.
  • To investigate the trade-off between energy consumption and packet throughput.

Main Methods:

  • A novel mixed-integer programming formulation was developed.
  • A price-and-branch solution algorithm based on column generation was employed.
  • Numerical studies were conducted on network examples ranging from 10 to 40 nodes.

Main Results:

  • The optimization model successfully maximized throughput while minimizing energy usage in most cases.
  • When simultaneous optimization was not possible, the trade-off costs were minimal.
  • Solution times were on the order of seconds, demonstrating practical feasibility.

Conclusions:

  • The proposed optimization model effectively addresses the energy-throughput trade-off in wireless M2M networks.
  • The method is computationally efficient and suitable for practical implementation.
  • Simultaneous achievement of high throughput and low energy usage is often attainable.