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

6.1K
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...
6.1K
Current Trends in Nursing II01:30

Current Trends in Nursing II

2.9K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
2.9K
Network Function of a Circuit01:25

Network Function of a Circuit

535
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
535
Control Systems01:10

Control Systems

1.7K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.7K
Control Systems: Applications01:25

Control Systems: Applications

1.0K
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
1.0K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

419
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
419

You might also read

Related Articles

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

Sort by
Same author

The Complexities of AI for Social Good: An Explorative Study on Adversarial Machine Learning to Facilitate Deliberative Decision-Making in Elections.

Science and engineering ethics·2026
Same author

Aligning Gamification with Learner Motivation: Insights from VR-Based Learning Tasks.

IEEE transactions on visualization and computer graphics·2026
Same author

RayFlex: Inducing Weight Perception Through Raycast Pseudo-Haptics in Virtual Reality.

IEEE transactions on visualization and computer graphics·2026
Same author

When Effort Becomes Visible: Facet-Level Shifts in Evaluation and Workload During VR Teamwork.

IEEE transactions on visualization and computer graphics·2026
Same author

Saliency-Guided Foveated Video Encoding for Low-Latency and Immersive Cloud VR.

IEEE transactions on visualization and computer graphics·2026
Same author

Understanding the Effect of Latency on User Performance of Target Selection in Virtual Reality.

IEEE transactions on visualization and computer graphics·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Dec 17, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.4K

Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives.

Yuhong Li1,2, Xiang Su3,4, Aaron Yi Ding5

  • 1State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Sensors (Basel, Switzerland)
|June 25, 2020
PubMed
Summary
This summary is machine-generated.

Software-defined Networking (SDN) and Internet of Things (IoT) data integration enhances IoT flexibility and intelligence. This approach addresses challenges in IoT network management and control for smarter, scalable systems.

Keywords:
Internet of Things (IoT)IoT-proxySoftware-defined Networking (SDN)knowledge-driving networking

More Related Videos

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

4.1K
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

3.7K

Related Experiment Videos

Last Updated: Dec 17, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.4K
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

4.1K
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

3.7K

Area of Science:

  • Computer Networking
  • Internet of Things (IoT)
  • Software-Defined Networking (SDN)

Background:

  • The Internet of Things (IoT) enables intelligent services but faces significant deployment challenges.
  • Current IoT networks lack flexibility and intelligent control, hindering management of complex, large-scale systems.
  • Existing IoT architectures struggle with device programming, resource utilization, and scalability.

Purpose of the Study:

  • To explore the integration of Software-defined Networking (SDN) with Internet of Things (IoT) data.
  • To enhance IoT control and management through increased flexibility and intelligence.
  • To propose a knowledge-driven SDN architecture for Industry IoT applications.

Main Methods:

  • Reviewing the evolution of SDN and IoT technologies.
  • Analyzing the benefits and challenges of integrating SDN with IoT data.
  • Presenting a novel IoT architecture for knowledge-driven SDN.

Main Results:

  • SDN integration with IoT data offers enhanced network flexibility and intelligent control.
  • The proposed architecture facilitates the realization of Industry IoT.
  • Identified key challenges and future research directions for knowledge-driven SDN in IoT.

Conclusions:

  • Integrating SDN with IoT data is crucial for overcoming current IoT network limitations.
  • A knowledge-driven SDN approach provides a pathway to more intelligent and manageable IoT ecosystems.
  • Further research is needed to fully realize the potential of this integrated architecture.