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

Errors in Global Positioning System01:26

Errors in Global Positioning System

103
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
103
Osmoregulation in Fishes02:32

Osmoregulation in Fishes

50.3K
When cells are placed in a hypotonic (low-salt) fluid, they can swell and burst. Meanwhile, cells in a hypertonic solution—with a higher salt concentration—can shrivel and die. How do fish cells avoid these gruesome fates in hypotonic freshwater or hypertonic seawater environments?
50.3K
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

86
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
86
Chemotaxis and Direction of Cell Migration01:21

Chemotaxis and Direction of Cell Migration

3.5K
Cells can detect chemical cues in their environment and reorganize the cytoskeleton to migrate toward them or away from them. This directional migration, called chemotaxis, is essential during embryogenesis and development, immune response, tissue repair and regeneration, and reproduction. These chemical cues can either attract or repel the cell's movement. For example, axon development is determined by a combination of chemoattractants and chemorepellents that direct the growing axon...
3.5K

You might also read

Related Articles

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

Sort by
Same author

CLIP-Driven Prototype Network for Few-Shot Semantic Segmentation.

Entropy (Basel, Switzerland)·2023
Same author

A Compact Snake Optimization Algorithm in the Application of WKNN Fingerprint Localization.

Sensors (Basel, Switzerland)·2023
Same author

An Opposition-Based Learning Black Hole Algorithm for Localization of Mobile Sensor Network.

Sensors (Basel, Switzerland)·2023
Same author

Ternary compound ontology matching for cognitive green computing.

Mathematical biosciences and engineering : MBE·2021
Same author

Efficacy and safety of mycophenolate mofetil in the treatment for IgA nephropathy: a meta-analysis of randomized controlled trials.

Clinical and experimental nephrology·2021
Same author

Automatic Measurement of Pennation Angle from Ultrasound Images using Resnets.

Ultrasonic imaging·2021
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

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

Related Experiment Video

Updated: Aug 30, 2025

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

12.6K

Gaussian-Based Adaptive Fish Migration Optimization Applied to Optimization Localization Error of Mobile Sensor

Yong Liu1,2, Wei-Min Zheng3, Shangkun Liu3

  • 1College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

Entropy (Basel, Switzerland)
|August 26, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Adaptive Fish Migration Optimization (AFMO) algorithm using a Gaussian probability distribution to enhance mobile wireless sensor network (MWSN) localization accuracy. The improved AFMO algorithm significantly reduces localization errors, outperforming existing heuristic methods.

Keywords:
fish migration optimizationheuristic algorithmslocalizationmobile sensor networksmonte carlo localization

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

645
Measurement of Cellular Chemotaxis with ECIS/Taxis
11:37

Measurement of Cellular Chemotaxis with ECIS/Taxis

Published on: April 1, 2012

14.9K

Related Experiment Videos

Last Updated: Aug 30, 2025

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

12.6K
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

645
Measurement of Cellular Chemotaxis with ECIS/Taxis
11:37

Measurement of Cellular Chemotaxis with ECIS/Taxis

Published on: April 1, 2012

14.9K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Location information is crucial for wireless sensor networks, especially for mobile variants (MWSN) tasked with target monitoring.
  • Improving localization accuracy in MWSNs presents a significant research challenge.

Purpose of the Study:

  • To develop and evaluate a novel optimization algorithm for enhancing MWSN localization accuracy.
  • To address the challenge of precise target monitoring in mobile wireless sensor networks.

Main Methods:

  • The Adaptive Fish Migration Optimization (AFMO) algorithm was modified by incorporating a Gaussian probability distribution model.
  • The performance of the novel AFMO algorithm was validated using the CEC 2013 test suite.
  • Results were benchmarked against established heuristic algorithms.

Main Results:

  • The proposed algorithm demonstrated superior performance, achieving optimal results in 21 out of 28 test functions.
  • Localization error in MWSNs was significantly reduced by the novel algorithm.
  • The new algorithm showed over 5% higher accuracy in mobile sensor node positioning compared to other heuristics and over 100% higher than non-heuristic methods.

Conclusions:

  • The Gaussian-randomized AFMO algorithm offers a significant advancement in MWSN localization.
  • This approach provides a more accurate and efficient solution for mobile sensor node positioning.
  • The findings suggest a promising direction for future research in wireless sensor network localization.