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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.7K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

680
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...
680
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

680
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...
680
Machines: Problem Solving I01:22

Machines: Problem Solving I

363
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
363
Machines: Problem Solving II01:30

Machines: Problem Solving II

339
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
339
Ampere's Law: Problem-Solving01:31

Ampere's Law: Problem-Solving

3.7K
Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
Specific steps need to be considered while calculating the symmetric magnetic field distribution...
3.7K

You might also read

Related Articles

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

Sort by
Same author

Retraction Note: Plant disease recognition using residual convolutional enlightened Swin transformer networks.

Scientific reports·2026
Same author

An improved crayfish optimization algorithm for solving engineering optimization problems.

PloS one·2026
Same author

Multi-strategy remora optimization algorithm for color multi-threshold image segmentation.

PloS one·2026
Same author

Corrigendum to "Greater cane rat algorithm (GCRA): A nature-inspired metaheuristic for optimization problems" [Heliyon Volume 10, Issue 11, June 2024, Article e31629].

Heliyon·2025
Same author

Improved COOT optimization: An approach to multilevel thresholding in image segmentation.

Scientific reports·2025
Same author

Correction: Artificial intelligence-driven translational medicine: a machine learning framework for predicting disease outcomes and optimizing patient-centric care.

Journal of translational medicine·2025
Same journal

RETRACTION: Multidimensional Heterogeneous Network Link Adaptation Based on Mobile Environment.

Computational intelligence and neuroscience·2026
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
See all related articles

Related Experiment Video

Updated: Jul 27, 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

608

Swarm Intelligence to Face IoT Challenges.

Laith Abualigah1, Deborah Falcone2, Agostino Forestiero2

  • 1Computer Science Department, Prince Hussein Bin Abdullah Faculty for Information Technology, Al Al-Bayt University, Mafraq 25113, Jordan.

Computational Intelligence and Neuroscience
|June 7, 2023
PubMed
Summary
This summary is machine-generated.

Swarm intelligence algorithms offer efficient solutions for the Internet of Things (IoT) by optimizing data routing and managing network traffic. These bio-inspired methods enhance device performance and reduce energy consumption in IoT networks.

More Related Videos

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.2K
Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

3.5K

Related Experiment Videos

Last Updated: Jul 27, 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

608
SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.2K
Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

3.5K

Area of Science:

  • Computer Science
  • Network Engineering
  • Artificial Intelligence

Background:

  • The Internet of Things (IoT) connects billions of devices, generating massive data and facing challenges like heavy network traffic and limited device power.
  • Efficient routing and power-aware techniques are crucial for managing IoT networks, ensuring timely data transmission and extended device lifespan.
  • Handling large volumes of dynamic data is a significant challenge in IoT environments.

Purpose of the Study:

  • To review swarm intelligence (SI) algorithms for addressing key challenges in the Internet of Things (IoT).
  • To explore how SI algorithms can optimize routing, reduce network traffic, and manage data in IoT systems.
  • To assess the suitability of SI algorithms for enhancing the flexibility, resilience, and efficiency of IoT networks.

Main Methods:

  • Review of swarm intelligence algorithms inspired by natural phenomena, such as insect behavior.
  • Analysis of SI algorithm applications in reducing network traffic and optimizing data routing in IoT.
  • Evaluation of power-aware techniques and data management strategies within the IoT context.

Main Results:

  • Swarm intelligence algorithms demonstrate potential for efficient routing in IoT networks, reducing response times and energy consumption.
  • SI algorithms offer flexibility, resilience, and dissemination capabilities, making them suitable for dynamic IoT environments.
  • The application of SI can help manage large datasets and improve the overall performance of IoT systems.

Conclusions:

  • Swarm intelligence algorithms are a promising approach for tackling the complexities of the Internet of Things.
  • Implementing SI can lead to more efficient, responsive, and power-aware IoT networks.
  • Further research into SI applications can unlock significant advancements in IoT technology.