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Conservation of AC Power01:15

Conservation of AC Power

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
Maximum Power Transfer01:16

Maximum Power Transfer

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...
Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
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Energy Stored In A Coaxial Cable01:31

Energy Stored In A Coaxial Cable

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Conservation of Energy: Application01:12

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Mitochondrial protein import is powered by two distinct energy sources: ATP hydrolysis and electrochemical potential across the inner membrane. Newly synthesized precursors are bound by cytosolic chaperones of the Hsp70 family, which guide them to the import receptors on the mitochondrial surface. Utilizing the energy of ATP hydrolysis, Hsp70 chaperones transfer these precursors to the TOM receptors on the mitochondrial outer membrane.
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Related Experiment Video

Updated: May 24, 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

Published on: September 8, 2023

Power Conservation through Energy Efficient Routing in Wireless Sensor Networks.

Dionisis Kandris1, Panagiotis Tsioumas, Anthony Tzes

  • 1Dept. of Electronics, Technological Educational Institution of Athens, 12210 Athens, Greece; E-Mail: ee4194@teiath.gr (P.T.).

Sensors (Basel, Switzerland)
|March 9, 2012
PubMed
Summary
This summary is machine-generated.

Wireless Sensor Networks (WSNs) face power drain during communication. This study introduces SHPER (Scaling Hierarchical Power Efficient Routing), a scalable protocol designed to conserve energy in WSNs.

Keywords:
energy efficiencyhierarchical routingrouting protocolsscalabilitywireless sensor networks

Related Experiment Videos

Last Updated: May 24, 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

Published on: September 8, 2023

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Power consumption is a critical challenge in Wireless Sensor Networks (WSNs).
  • Communication activities are the primary source of energy dissipation in WSNs.
  • Existing routing protocols often struggle with scalability as network size increases.

Purpose of the Study:

  • To address the power awareness issue in WSNs.
  • To develop a routing protocol that prioritizes energy conservation.
  • To ensure the routing protocol is scalable for large networks.

Main Methods:

  • Development of a novel routing protocol named SHPER (Scaling Hierarchical Power Efficient Routing).
  • Focus on hierarchical and power-efficient routing strategies.
  • Evaluation of scalability and energy efficiency.

Main Results:

  • SHPER demonstrates efficient power conservation in WSNs.
  • The protocol exhibits scalability, maintaining effectiveness with increasing network size.
  • Hierarchical structure contributes to optimized energy usage.

Conclusions:

  • SHPER offers a viable solution for power-constrained WSNs.
  • The protocol's scalability makes it suitable for large-scale deployments.
  • Energy-efficient routing is crucial for extending WSN lifetime.