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

733
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...
733
Distributed Loads01:19

Distributed Loads

611
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...
611
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

16.5K
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.
16.5K
Multimachine Stability01:25

Multimachine Stability

229
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
229
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

181
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
181
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

289
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
289

You might also read

Related Articles

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

Sort by
Same author

Generation of ultra-long pure longitudinal magnetization fields using complex phase filters.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same author

Resveratrol alleviated inflammatory responses induced by cytopathic bovine viral diarrhea virus infection via NLRP3 inflammasome induced pyroptosis.

Veterinary journal (London, England : 1997)·2026
Same author

Pestivirus bovine viral diarrhea virus infection induces ROS-HIF-1a axis-driven glycolytic reprogramming, which increases viral replication by impairing RIG-I-dependent type I interferon response.

Journal of virology·2026
Same author

A self-assembled nanoparticle vaccine displaying chimeric and trimeric RBD-HRC elicits broad-spectrum neutralizing antibodies against multiple coronaviruses.

Microbiology spectrum·2026
Same author

Evolution of energy flow in the focal field of azimuthally polarized Lorentz-Gauss beams under helico-conical phase modulation.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same author

Overcoming gastrointestinal mucosal barriers: Mechanistic innovations and technical advances in mucosal targeting strategies for animal oral vaccines.

Veterinary microbiology·2026

Related Experiment Video

Updated: Sep 13, 2025

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

8.2K

Multihop cost awareness task migration with networking load balance technology for vehicular edge computing.

Shih-Yang Lin1, Jie-Qin Wang2, Shi-Ming Peng2,3

  • 1School of Architecture Engineering, Weifang University of Science and Technology, Weifang, 262700, China. shihyang.lin@wfust.edu.cn.

Scientific Reports
|August 1, 2025
PubMed
Summary

Vehicular edge computing in 6G networks faces resource limitations. The proposed multihop cost awareness task migration (MCATM) mechanism enhances cooperative vehicular edge computing (VEC) by migrating tasks to suitable servers, improving success rates and balancing loads.

Keywords:
5G C-V2XCooperative VECVehicular edge computingWeight variable AHP

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

659
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

3.9K

Related Experiment Videos

Last Updated: Sep 13, 2025

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

8.2K
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

659
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

3.9K

Area of Science:

  • Mobile Communication
  • Vehicular Networks
  • Edge Computing

Background:

  • 6G technology will integrate vehicular wireless connections with multi-access edge computing (MEC) for applications like cooperative driving.
  • Increasingly, local MEC servers in vehicles may lack sufficient resources for offloaded tasks.
  • Cooperative computing among neighboring servers can mitigate local resource scarcity through task migration.

Purpose of the Study:

  • To investigate dynamic resource allocation and task migration for cooperative vehicular edge computing (VEC).
  • To propose the multihop cost awareness task migration (MCATM) mechanism for overloaded local VEC servers.
  • To ensure efficient task migration to the most suitable VEC server.

Main Methods:

  • The MCATM mechanism evaluates nearest VEC server capabilities for task offloading.
  • It addresses duplicate server selection among n-hop neighbors for optimal task migration.
  • It identifies efficient transmission paths using the weight variable analytic hierarchy process (WVAHP) and pre-allocation with cost balance (PACB) algorithm.

Main Results:

  • MCATM successfully migrates computational tasks to appropriate neighboring VEC servers.
  • The mechanism increases the task migration success rate.
  • MCATM effectively balances network traffic and computing server capabilities.

Conclusions:

  • The proposed MCATM mechanism enhances cooperative VEC by enabling efficient task migration.
  • MCATM addresses resource limitations in vehicular edge computing environments.
  • This approach improves the reliability and efficiency of 6G vehicular networks.