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

Short-distance Transport of Resources02:12

Short-distance Transport of Resources

15.0K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
15.0K
IP3/DAG Signaling Pathway01:11

IP3/DAG Signaling Pathway

12.6K
Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the  phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and...
12.6K
Distributed Loads01:19

Distributed Loads

1.1K
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
1.1K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.3K
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...
1.3K
Reynolds Transport Theorem01:24

Reynolds Transport Theorem

1.9K
The Reynolds transport theorem provides a framework to relate the time rate of change of an extensive property within a system to that in a control volume, which is crucial for analyzing fluid dynamics. Extensive properties, such as mass, velocity, acceleration, temperature, and momentum, can be expressed in terms of the mass of a fluid portion. These properties are called extensive because they depend on the system's size, while intensive properties are their corresponding values per unit...
1.9K
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

890
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant...
890

You might also read

Related Articles

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

Sort by
Same author

Plasmid design, cloning, and expression of <i>Vitreoscilla</i> hemoglobin in <i>Streptomyces pilosus</i>: a novel strategy to enhance desferrioxamine B production and yield.

Preparative biochemistry & biotechnology·2026
Same author

Manifestations of tuberculosis possibly associated with rituximab in a patient with diagnosed multiple sclerosis: a case report.

Journal of medical case reports·2026
Same author

The Effect of Food Processing and Preservation on the Survivability of Group A Rotavirus (SA11) in Simulated and Real Food Models.

Food and environmental virology·2026
Same author

Spiritual Well-Being, and Caring Burden of Informal Caregivers of Stroke Patients.

Iranian journal of nursing and midwifery research·2026
Same author

Optimized task allocation in SDN-enabled 5 G IoMT networks using fog computing.

BMC medical informatics and decision making·2026
Same author

Silicon-stabilized three-dimensional covalent networks in high entropy diborides.

Materials horizons·2026

Related Experiment Video

Updated: May 6, 2026

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

8.0K

Multicast reliable traffic engineering technique for SDN-Fog based IoUT.

Reza Mohammadi1

  • 1Computer Engineering Department, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran. r.mohammadi@basu.ac.ir.

Scientific Reports
|March 18, 2025
PubMed
Summary

This study introduces a Software-Defined Networking (SDN) and Fog Computing approach for reliable underwater Internet of Things (IoUT) communication. The method optimizes routing to enhance network performance and lifetime in challenging aquatic environments.

Keywords:
Fog computingInternet of underwater thingsSoftware defined networkingTraffic engineering

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

3.7K
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

470

Related Experiment Videos

Last Updated: May 6, 2026

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

8.0K
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

3.7K
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

470

Area of Science:

  • Computer Science
  • Networking
  • Marine Technology

Background:

  • Underwater Internet of Things (IoUT) networks are crucial for exploring and monitoring aquatic ecosystems.
  • Challenges include dynamic environments, high propagation delays, and unreliable communication channels.
  • Ensuring reliable communication between underwater and surface nodes remains a critical concern.

Purpose of the Study:

  • To propose a novel solution integrating Software-Defined Networking (SDN) and Fog Computing for enhanced IoUT communication reliability.
  • To optimize underwater communication through an Integer Linear Programming (ILP) model.
  • To improve network lifetime and reduce delays in underwater networks.

Main Methods:

  • Integration of SDN architecture with Fog Computing for underwater networks.
  • Development of an Integer Linear Programming (ILP) model to optimize communication as a multicast operation.
  • Generation of an optimized routing tree by solving the ILP model.
  • Dissemination of the routing structure by a network controller to underwater nodes.

Main Results:

  • The proposed SDN-Fog-based architecture significantly enhances underwater communication reliability.
  • Multicast routing, optimized via ILP, minimizes delays and maximizes network reliability.
  • Simulation results validate the improved performance and extended network lifetime.

Conclusions:

  • The SDN-Fog architecture combined with multicast routing offers a robust solution for reliable underwater communication.
  • This approach effectively addresses the challenges of dynamic underwater environments and unreliable channels.
  • The study highlights the potential for improved exploration and monitoring of marine ecosystems through advanced networking.