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

912
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...
912
Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

416
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...
416
Mesh Analysis with Current Sources01:10

Mesh Analysis with Current Sources

1.5K
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...
1.5K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

739
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?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
739
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

704
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...
704
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

178
Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
178

You might also read

Related Articles

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

Sort by
Same author

A novel approach for the router nodes placement in wireless mesh networks using phasing with approximation optimization algorithms.

PloS one·2025
Same author

A novel and effective method for solving the router nodes placement in wireless mesh networks using reinforcement learning.

PloS one·2024
Same author

Binary salp swarm algorithm for discounted {0-1} knapsack problem.

PloS one·2022
Same author

A new flowchart for parameters calculation of Hybrid Active Power Filter with Injection Circuit.

PloS one·2021

Related Experiment Video

Updated: Sep 3, 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

650

An Efficient Method for Solving Router Placement Problem in Wireless Mesh Networks Using Multi-Verse Optimizer

Le Huu Binh1, Tung Khac Truong2

  • 1Faculty of Information Technology, University of Sciences, Hue University, Hue City 49000, Vietnam.

Sensors (Basel, Switzerland)
|July 28, 2022
PubMed
Summary

This study introduces an efficient Multi-Verse Optimizer (MVO) for the Wireless Mesh Network (WMN) router placement problem. MVO enhances client coverage and connectivity, outperforming other optimization algorithms.

Keywords:
mesh router placementmulti-verse optimizer algorithmnetwork designwireless mesh network

More Related Videos

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

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

Published on: February 3, 2021

3.8K

Related Experiment Videos

Last Updated: Sep 3, 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

650
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

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

Published on: February 3, 2021

3.8K

Area of Science:

  • Computer Science
  • Network Engineering
  • Optimization Algorithms

Background:

  • Wireless Mesh Networks (WMNs) are vital for modern connectivity.
  • Optimizing WMN topology is crucial for efficient resource utilization.
  • The Mesh Router Placement problem in WMNs (MRP-WMN) is NP-hard, necessitating advanced solutions.

Purpose of the Study:

  • To address the NP-hard MRP-WMN by proposing an efficient optimization method.
  • To introduce a novel objective function for MRP-WMN considering client and router connectivity.
  • To evaluate the performance of the Multi-Verse Optimizer (MVO) for MRP-WMN.

Main Methods:

  • Implementation of the Multi-Verse Optimizer (MVO) algorithm for MRP-WMN.
  • Development of a new objective function incorporating connected client and router ratios.
  • Comparative analysis against Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Whale Optimization Algorithm (WOA).

Main Results:

  • MVO significantly improves the connected client ratio compared to GA, PSO, and WOA.
  • Average connected client ratio increases by 15.1% (GA), 11.5% (PSO), and 5.9% (WOA).
  • Path loss is reduced by 1.3 dB (GA), 0.9 dB (PSO), and 0.6 dB (WOA) using MVO.

Conclusions:

  • The Multi-Verse Optimizer (MVO) provides an efficient and effective solution for the MRP-WMN.
  • MVO demonstrates superior performance in enhancing network connectivity and reducing path loss.
  • This research offers a valuable approach for optimizing WMN topology design.