Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

IP3/DAG Signaling Pathway

IP3/DAG Signaling Pathway

Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and...

Distribution Reliability and Automation

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...

Distributed Loads: Problem Solving

Distributed Loads: Problem Solving

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...

Power System Distribution

Power System Distribution

Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
The transmission system is designed...

Distributed Loads

Distributed Loads

Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...

Maximum Power Flow and Line Loadability

Maximum Power Flow and Line Loadability

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.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

SLIC-Former: a superpixel-guided transformer framework for automatic liver segmentation in CT images.

Scientific reports·2026

Same author

DMARS_WGO: a deep reinforcement-driven hybrid metaheuristic for intelligent adaptive optimization.

Scientific reports·2026

Same author

An effective robot selection and recharge scheduling approach for improving robotic networks performance.

Scientific reports·2024

Same author

Optimizing the Steering of Driverless Personal Mobility Pods with a Novel Differential Harris Hawks Optimization Algorithm (DHHO) and Encoder Modeling.

Sensors (Basel, Switzerland)·2024

Same author

A generic optimization and learning framework for Parkinson disease via speech and handwritten records.

Journal of ambient intelligence and humanized computing·2022

Same author

Brain Strategy Algorithm for Multiple Object Tracking Based on Merging Semantic Attributes and Appearance Features.

Sensors (Basel, Switzerland)·2021

Search research articles

Related Experiment Video

Updated: Apr 22, 2026

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

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

Published on: September 8, 2023

Towards Internet QoS provisioning based on generic distributed QoS adaptive routing engine.

Amira Y Haikal¹, M Badawy¹, Hesham A Ali¹

¹Department of Computer Engineering & Control Systems, Mansoura University, Mansoura 35516, Egypt.

Thescientificworldjournal

|October 14, 2014

Summary

This study introduces a novel distributed Quality of Service (QoS) adaptive routing engine (DQARE) for enhanced Internet performance. Simulations show DQARE significantly improves network metrics like delay and throughput.

More Related Videos

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

Related Experiment Videos

Last Updated: Apr 22, 2026

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

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

Published on: September 8, 2023

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

Area of Science:

Computer Science
Network Engineering

Background:

Modern internet technologies require high efficiency and quality of service (QoS).
Providing QoS on the internet presents significant challenges.
Existing QoS architectures often lack flexibility and stability.

Purpose of the Study:

Introduce a generic distributed QoS adaptive routing engine (DQARE) architecture.
Develop stable QoS mechanisms independent of specific QoS architectures.
Enhance internet traffic control through service differentiation, QoS routing, and traffic engineering.

Main Methods:

Proposed a DQARE architecture based on OSPFxQoS, separating control from data forwarding.
Developed a QoS routing algorithm (QOPRA) using dynamic programming.
Introduced a QoS multipath forwarding (QMPF) model for path diversity.

Main Results:

DQARE demonstrated superiority in reducing delay and control overhead.
Achieved higher packet delivery ratio and throughput compared to existing methods.
QOPRA and QMPF showed competitive performance against literature counterparts.

Conclusions:

The DQARE architecture provides a stable and flexible foundation for internet QoS.
The proposed QOPRA algorithm and QMPF model offer effective solutions for QoS provisioning.
DQARE enhances overall network performance and efficiency.