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

You might also read

Related Articles

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

Sort by
Same author

Corrigendum to "The differential effects of sodium chloride on the formation of amyloid-like fibrils derived from glutenin and gliadin" [Food Chem. 520 (2026) 149793].

Food chemistry·2026
Same author

Review on thread profile modification methods for the planetary roller screw mechanism.

iScience·2026
Same author

The differential effects of sodium chloride on the formation of amyloid-like fibrils derived from glutenin and gliadin.

Food chemistry·2026
Same author

Research Progress on the Regulation of Amyloid Fibril Formation in Cereal Proteins by Nonthermal Approaches.

Journal of agricultural and food chemistry·2026
Same author

Mechanisms of maturation regulated gluten network formation: Perspectives from differential aggregation of glutenin and gliadin.

Food chemistry·2026
Same author

Multiscale mechanism of linolenic acid oxidation regulating gluten network formation.

International journal of biological macromolecules·2026
Same journal

Novel Parent Survey Measures Sensory Behaviors Incorporating Sensory Modality and Stimulus Intensity.

Heliyon·2026
Same journal

Expression of concern: "SQSTM1/p62 promotes the progression of gastric cancer through epithelial-mesenchymal transition" [Heliyon 10 (2024) e24409].

Heliyon·2026
Same journal

Expression of concern: "TL1A promotes metastasis and EMT process of colorectal cancer" [Heliyon 10 (2024) e24392].

Heliyon·2026
Same journal

Expression of concern: "Factors affecting timing of surgery following neoadjuvant chemoradiation for esophageal cancer" [Heliyon 9 (2023) e23212].

Heliyon·2026
Same journal

Expression of concern: "On stratified single-valued soft topogenous structures" [Heliyon 10 (2024) e27926].

Heliyon·2026
Same journal

Expression of concern: "Artifact removal and motor imagery classification in EEG using advanced algorithms and modified DNN" [Heliyon 10 (2024) e27198].

Heliyon·2026
See all related articles

Related Experiment Video

Updated: Jun 29, 2025

Automated Analysis of C. elegans Swim Behavior Using CeleST Software
08:47

Automated Analysis of C. elegans Swim Behavior Using CeleST Software

Published on: December 7, 2016

12.7K

IoT service composition based on improved Shuffled Frog Leaping Algorithm.

Zhengyi Tang1,2,3, Yongbing Wu1,3, Jinshui Wang1,2,3

  • 1School of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, 350118, Fujian, China.

Heliyon
|April 8, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an improved Shuffled Frog Leaping Algorithm (ISFLA) for optimizing Internet of Things (IoT) service composition. ISFLA enhances search efficiency and precision, leading to better IoT service quality perception and operational efficiency.

Keywords:
IoT serviceQuality of serviceService compositionService composition optimizationShuffled Frog Leaping Algorithm

More Related Videos

Two Types of Assays for Detecting Frog Sperm Chemoattraction
10:02

Two Types of Assays for Detecting Frog Sperm Chemoattraction

Published on: December 27, 2011

19.0K
Author Spotlight: Refining Xenopus laevis Marking Techniques for Biomedical Studies
04:18

Author Spotlight: Refining Xenopus laevis Marking Techniques for Biomedical Studies

Published on: June 28, 2024

690

Related Experiment Videos

Last Updated: Jun 29, 2025

Automated Analysis of C. elegans Swim Behavior Using CeleST Software
08:47

Automated Analysis of C. elegans Swim Behavior Using CeleST Software

Published on: December 7, 2016

12.7K
Two Types of Assays for Detecting Frog Sperm Chemoattraction
10:02

Two Types of Assays for Detecting Frog Sperm Chemoattraction

Published on: December 27, 2011

19.0K
Author Spotlight: Refining Xenopus laevis Marking Techniques for Biomedical Studies
04:18

Author Spotlight: Refining Xenopus laevis Marking Techniques for Biomedical Studies

Published on: June 28, 2024

690

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Internet of Things

Background:

  • The Internet of Things (IoT) presents numerous services with similar functions but varying quality of service (QoS).
  • Optimizing IoT service composition is essential for meeting diverse customer needs and enabling widespread application.
  • Existing algorithms like Shuffled Frog Leaping Algorithm (SFLA) and Genetic Algorithm (GA) face challenges in search efficiency and optimization precision for IoT service composition.

Purpose of the Study:

  • To enhance the perception of service quality in IoT service composition.
  • To propose an improved Shuffled Frog Leaping Algorithm (ISFLA) that addresses the limitations of existing methods.
  • To improve the efficiency and precision of IoT service composition optimization.

Main Methods:

  • An improved Shuffled Frog Leaping Algorithm (ISFLA) was developed, integrating chaos theory and reverse learning for initial population acquisition.
  • Population partitioning using Euclidean distance and Gaussian mutation for optimizing individuals within groups were employed.
  • A local update method with two strategies was used for the evolution of the entire population.
  • Simulated experiments were conducted to evaluate the algorithm's performance on various scales of IoT service composition problems.

Main Results:

  • The ISFLA demonstrated superior fitness values compared to SFLA, GA, ISFLA*, IGSFLA, and SFLAGA.
  • ISFLA achieved better composition solutions, indicating improved optimization precision.
  • The algorithm exhibited faster convergence, higher stability, and greater overall operational efficiency.

Conclusions:

  • The proposed ISFLA significantly enhances the optimization of IoT service composition.
  • ISFLA offers a more efficient and precise approach to selecting and composing IoT services.
  • The findings suggest ISFLA is a promising intelligent algorithm for improving IoT service quality and application.