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

PI Controller: Design01:24

PI Controller: Design

543
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
543
PD Controller: Design01:26

PD Controller: Design

368
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
368
Controller Configurations01:22

Controller Configurations

167
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
167
Control Systems: Applications01:25

Control Systems: Applications

787
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...
787
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
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...
5.9K
Network Function of a Circuit01:25

Network Function of a Circuit

410
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.
410

You might also read

Related Articles

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

Sort by
Same author

A hybrid ensembling and autoencoder scheme for improving sensing reliability in cognitive radio networks.

PloS one·2025
Same author

UAV aided virtual cooperative spectrum sensing for cognitive radio networks.

PloS one·2023
Same author

Naïve Bayes classifier assisted automated detection of cerebral microbleeds in susceptibility-weighted imaging brain images.

Biochemistry and cell biology = Biochimie et biologie cellulaire·2023
Same author

Optimal Path Routing Protocol for Warning Messages Dissemination for Highway VANET.

Sensors (Basel, Switzerland)·2022
Same author

A Novel Scheme for Controller Selection in Software-Defined Internet-of-Things (SD-IoT).

Sensors (Basel, Switzerland)·2022
Same author

Deep Learning Based Homomorphic Secure Search-Able Encryption for Keyword Search in Blockchain Healthcare System: A Novel Approach to Cryptography.

Sensors (Basel, Switzerland)·2022

Related Experiment Video

Updated: Sep 26, 2025

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

3.9K

An Effective Approach for Controller Placement in Software-Defined Internet-of-Things (SD-IoT).

Jehad Ali1,2, Byeong-Hee Roh1,2

  • 1Department of Computer Engineering, Ajou University, Suwon 16499, Korea.

Sensors (Basel, Switzerland)
|April 23, 2022
PubMed
Summary

This study introduces an effective clustering strategy for controller placement in Software-Defined Networking (SDN) using the Analytical Network Process (ANP). The ANP method optimizes controller locations, reducing end-to-end delay and improving network performance in Software-Defined Internet of Things (SD-IoT) environments.

Keywords:
ANPOpenFlowSDNcontroller placement problemk-means

More Related Videos

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

672
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

8.2K

Related Experiment Videos

Last Updated: Sep 26, 2025

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

3.9K
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

672
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

8.2K

Area of Science:

  • Computer Science
  • Network Engineering
  • Internet of Things

Background:

  • Software-Defined Networking (SDN) centralizes network intelligence.
  • Distributed controllers enhance reliability and load balancing in SDN.
  • Controller placement is critical for minimizing latency in Software-Defined Internet of Things (SD-IoT).

Purpose of the Study:

  • To propose an efficient clustering strategy for controller placement in SDN.
  • To address the challenge of optimizing controller locations in large-scale networks.
  • To improve end-to-end (E2E) latency and network efficiency in SD-IoT.

Main Methods:

  • Utilized the Analytical Network Process (ANP), a multi-criteria decision-making (MCDM) scheme.
  • Implemented a clustering strategy to segment the network for efficient switch assignment.
  • Conducted simulations on real Internet topologies.

Main Results:

  • The proposed ANP-based clustering method outperforms the standard k-means approach.
  • Demonstrated significant improvements in E2E delay and controller-to-controller (C2C) delay.
  • Showcased fairer allocation of switches and reduced communication overhead.

Conclusions:

  • The ANP-based clustering strategy offers an effective solution for controller placement in SDN.
  • Optimized controller placement leads to enhanced performance metrics in SD-IoT.
  • The method provides a scalable and efficient approach for managing distributed controllers.