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

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

666
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...
666
Buoyancy and Stability for Submerged and Floating Bodies01:11

Buoyancy and Stability for Submerged and Floating Bodies

1.8K
In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Cuminal-triggered mitophagy induces mitochondrial dysfunction, resulting in decreased vegetative growth and pathogenicity in Trichothecium roseum.

International journal of food microbiology·2026
Same author

Glutathione S-transferase AaGST1 impacts the pathogenicity of Alternaria alternata through the regulation of the redox balance.

Food microbiology·2026
Same author

Linking sugar sensing to immunity in plants via O-glycosylation.

bioRxiv : the preprint server for biology·2026
Same author

Alternative antibiotic regimens improve palatability and welfare in mice for gut bacterial depletion.

Lab animal·2026
Same author

625 mJ, 1 kHz picosecond pulsed laser amplifier based on cascaded zig-zag slabs.

Optics express·2026
Same author

ATRA influences the differentiation and fusion of myoblasts by regulating Rarα/Pitx2, leading to abnormal development of the pelvic floor muscles (PFMs) in fetal rats.

PloS one·2026
Same journal

Application of ephrin-B2 loaded glycol chitosan-silk fibroin hydrogel in the treatment of diabetic refractory wounds.

Scientific reports·2026
Same journal

International expert Delphi consensus on thromboprophylaxis in metabolic and bariatric surgery.

Scientific reports·2026
Same journal

Assessing the cross-region knowledge transfer capability of selected deep learning building vectorization methods in the context of available training datasets.

Scientific reports·2026
Same journal

Feasibility and preliminary effects of outdoor versus indoor cognitive-motor therapy in women with Alzheimer's disease: A randomized single-blind pilot study.

Scientific reports·2026
Same journal

Hallmarks of social action in the vocal turn-taking of wild common marmosets (Callithrix jacchus).

Scientific reports·2026
Same journal

Role and mechanism of AOPPs-induced NOX4-mediated ferroptosis in intervertebral disc degeneration.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jul 15, 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

591

Node deployment optimization of underwater wireless sensor networks using intelligent optimization algorithm and

Yangmei Zhang1, Zhouzhou Liu2, Yang Bi3

  • 1School of Electronic Engineering, Xi'an Aeronautical Institute, Xi'an, 710077, China. 201707019@xaau.edu.cn.

Scientific Reports
|September 23, 2023
PubMed
Summary
This summary is machine-generated.

Optimizing underwater wireless sensor networks (UWSNs) node deployment with an enhanced Chemical Reaction Optimization (CRO) algorithm and robot collaboration significantly boosts coverage to 95.66%. This approach improves underwater monitoring and marine research capabilities.

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.7K
Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

8.0K

Related Experiment Videos

Last Updated: Jul 15, 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

591
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.7K
Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

8.0K

Area of Science:

  • Marine technology
  • Network engineering
  • Robotics

Background:

  • Underwater wireless sensor networks (UWSNs) face challenges in node deployment for effective coverage.
  • Optimizing UWSN deployment is crucial for environmental monitoring and marine resource exploration.
  • Existing intelligent optimization algorithms have limitations in addressing UWSN deployment complexities.

Purpose of the Study:

  • To optimize node deployment in UWSNs using an enhanced Chemical Reaction Optimization (CRO) algorithm combined with robot collaboration.
  • To improve network performance, coverage, and efficiency in underwater environments.
  • To demonstrate the superiority of the enhanced CRO algorithm over traditional methods for UWSN node deployment.

Main Methods:

  • Utilizing the Chemical Reaction Optimization (CRO) algorithm, integrating strengths from genetic algorithms, simulated annealing, and ant colony algorithms.
  • Enhancing the CRO algorithm with a structure correction function for optimal node placement.
  • Leveraging robot flexibility and autonomy for efficient underwater node deployment.
  • Conducting comparative analyses of various intelligent optimization algorithms.

Main Results:

  • The enhanced CRO algorithm achieved an average network coverage rate of 95.66%.
  • The proposed method significantly outperformed traditional intelligent optimization algorithms in UWSN coverage.
  • Robot collaboration enhanced the efficiency and adaptability of node deployment in the underwater environment.

Conclusions:

  • The enhanced CRO algorithm and robot collaboration offer an effective strategy for optimizing UWSN node deployment.
  • Improved node deployment significantly enhances underwater environmental monitoring capabilities, resource utilization, and data accuracy.
  • This research provides valuable insights for underwater environment monitoring, marine resource exploration, and scientific research.