Jove
Visualize
Contact Us

Related Concept Videos

Short-distance Transport of Resources02:12

Short-distance Transport of Resources

17.1K
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.
17.1K
Carrier-Mediated Transport01:06

Carrier-Mediated Transport

811
Carrier-mediated transport is a pivotal process in drug absorption, particularly for lipid-insoluble drugs, and encompasses facilitated diffusion and active transport. Facilitated diffusion allows drugs to move along their concentration gradient without energy expenditure, while active transport utilizes ATP to drive drug movement against this gradient.
Active transport involves two types of membrane-spanning transporters: uptake and efflux. Uptake transporters are expressed in the small...
811
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

201
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...
201
Carrier Transport01:21

Carrier Transport

774
The generation of electrical current in semiconductors is fundamentally driven by two mechanisms: drift and diffusion. These processes are essential for the functionality and performance of semiconductor-based devices.
Drift Current:
The drift of charge carriers is started by an external electric field (E). Charged particles, such as electrons and holes, experience an acceleration between collisions with lattice atoms. For electrons, this results in a drift velocity (vd) given by:
774
Distributed Loads01:19

Distributed Loads

818
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...
818
Non-ohmic Devices00:51

Non-ohmic Devices

1.3K
In most substances, the current flow is proportional to the voltage applied to it. A simple relationship between the values of current, voltage, and resistance is known as Ohm's law. Nonohmic devices do not exhibit a linear relationship between voltage and current. One such device is the semiconducting circuit element known as a diode. A diode is a circuit device that allows current flow in only one direction.
Consider a simple circuit consisting of a battery, a diode, and a resistor. A...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Future of Telepresence Services in the Evolving Fog Computing Environment: A Survey on Research and Use Cases.

Sensors (Basel, Switzerland)·2025
Same author

Unmanned Aerial Vehicle-Assisted Terahertz-Visible Light Communication Systems: An In-Depth Performance Analysis.

Sensors (Basel, Switzerland)·2024
Same author

Backscatter Assisted NOMA-PLNC Based Wireless Networks.

Sensors (Basel, Switzerland)·2021
Same author

Intelligent UAV Deployment for a Disaster-Resilient Wireless Network.

Sensors (Basel, Switzerland)·2020
Same author

Hardware Impaired Self-Energized Bidirectional Sensor Networks over Complex Fading Channels.

Sensors (Basel, Switzerland)·2020
Same author

A New Construction of High Performance LDPC Matrices for Mobile Networks.

Sensors (Basel, Switzerland)·2020
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles
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 Experiment Video

Updated: Dec 3, 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

4.1K

A Fog Computing-Based Device-Driven Mobility Management Scheme for 5G Networks.

Sanjay Kumar Biswash1,2, Dushantha Nalin K Jayakody1,3

  • 1School of Computer Science and Robotics, National Research Tomsk Polytechnic University, 634050 Tomsk, Russia.

Sensors (Basel, Switzerland)
|October 29, 2020
PubMed
Summary
This summary is machine-generated.

Fog computing enhances cellular networks by reducing data overhead and improving scalability for real-time applications. This new framework offers lower energy consumption, delay, and signaling costs compared to legacy systems.

Keywords:
5G networksdata-centric networkingdevice-driven communicationsfog networks

More Related Videos

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

8.4K
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

964

Related Experiment Videos

Last Updated: Dec 3, 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

4.1K
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

8.4K
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

964

Area of Science:

  • Computer Science
  • Telecommunications Engineering

Background:

  • Modern cellular networks face challenges with high data rates and scalability.
  • Fog computing offers a distributed framework to process data closer to the source, complementing cloud infrastructure.

Purpose of the Study:

  • To explore the potential of fog computing orchestration for next-generation cellular systems.
  • To design a fog computing framework supporting device-driven communication for improved Quality of Service (QoS) and Quality of Experience (QoE).

Main Methods:

  • Proposed a novel fog computing framework architecture for device-driven networks.
  • Developed a mobility management procedure for fog networks, considering static and dynamic nodes.
  • Compared performance metrics against legacy LTE/LTE-A networks.

Main Results:

  • The fog computing framework effectively reduces data management overheads and network scalability challenges.
  • The proposed mobility management procedure supports pervasive computation for real-time applications.
  • Achieved significantly lower energy consumption, delay, latency, and signaling cost compared to LTE/LTE-A.

Conclusions:

  • Fog computing presents a viable solution for enhancing 5G and future cellular communication systems.
  • The proposed framework and mobility management improve network efficiency and user experience.
  • This approach offers a promising alternative to traditional cellular network architectures for performance gains.