Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mesh Analysis01:20

Mesh Analysis

1.0K
Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
1.0K
Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

465
In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
465
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

361
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:
361
Mesh Analysis with Current Sources01:10

Mesh Analysis with Current Sources

1.6K
Mesh analysis becomes simpler when analyzing circuits with current sources, whether independent or dependent. The presence of current sources reduces the number of equations required for analysis. Two cases illustrate this:
Current Source in One Mesh: The analysis process is straightforward when a current source is found in only one mesh within the circuit. Mesh currents are assigned as usual, with the mesh containing the current source excluded from the analysis. Kirchhoff's voltage law...
1.6K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

839
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...
839
Frequency-dependent Selection01:21

Frequency-dependent Selection

22.4K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
22.4K

You might also read

Related Articles

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

Sort by
Same author

MRI-targeted versus systematic needle core biopsies in prostate cancer: a patient-based analysis of potential diagnostic and biologic underestimation.

Journal of clinical pathology·2026
Same author

PlantCLR: contrastive self-supervised pretraining for generalizable plant disease detection.

Scientific reports·2026
Same author

Methodological Advances in Transcriptomics and Metabolomics for Assessing Crop Stress Resilience.

Physiologia plantarum·2025
Same author

Ensemble learning approach with explainable AI for improved heart disease prediction.

Frontiers in pharmacology·2025
Same author

Active-Supervised Model for Intestinal Ulcers Segmentation Using Fuzzy Labeling.

IEEE journal of biomedical and health informatics·2025
Same author

Intelligent reflective surfaces in 5G and beyond: optimizing uplink satellite connectivity for IoT.

PeerJ. Computer science·2025
Same journal

RETRACTION: Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: CNN Based Multiclass Brain Tumor Detection Using Medical Imaging.

Computational intelligence and neuroscience·2025
Same journal

RETRACTION: Distributed Scheduling Strategy of Virtual Power Plant Using the Particle Swarm Optimization Neural Network under Blockchain Background.

Computational intelligence and neuroscience·2025
See all related articles

Related Experiment Video

Updated: Oct 23, 2025

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

852

Fairness-Oriented Semichaotic Genetic Algorithm-Based Channel Assignment Technique for Node Starvation Problem in

Fuad A Ghaleb1,2, Bander Ali Saleh Al-Rimy1, Wadii Boulila3

  • 1School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.

Computational Intelligence and Neuroscience
|August 20, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new channel assignment technique for wireless mesh networks (WMNs) to prevent node starvation and improve bandwidth distribution. The proposed method enhances network capacity and ensures fair resource utilization for all users.

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.9K

Related Experiment Videos

Last Updated: Oct 23, 2025

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

852
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.9K

Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Communication

Background:

  • Wireless mesh networks (WMNs) are crucial for IoT, WSN, and IoV, but face bandwidth fairness issues.
  • Channel interference in WMNs leads to node starvation, hindering efficient access.
  • Existing algorithms overlook node starvation and offer suboptimal fairness.

Purpose of the Study:

  • To address node starvation in WMNs by proposing a novel channel assignment technique.
  • To enhance fair bandwidth distribution among mesh clients.
  • To improve overall network capacity utilization.

Main Methods:

  • Developed a Fairness-Oriented Semichaotic Genetic Algorithm-Based Channel Assignment Technique (FA-SCGA-CAA).
  • Employed a nonlinear, fairness-oriented fitness function within a genetic algorithm (GA).
  • Utilized a semichaotic technique for population initialization, mutation, and parent selection to avoid local minima.

Main Results:

  • FA-SCGA-CAA reduced potential node starvation by 22%.
  • Improved network capacity utilization by 23%.
  • Demonstrated high node-level fairness and maximized resource utilization.

Conclusions:

  • FA-SCGA-CAA effectively mitigates node starvation in WMNs.
  • The technique ensures equitable bandwidth distribution and efficient resource management.
  • Proposed algorithm offers a reliable solution for enhancing WMN performance.