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

Vector Functions and Motion: Problem Solving01:30

Vector Functions and Motion: Problem Solving

Accurate position tracking is fundamental to the safe and effective operation of unmanned aerial vehicles (UAVs), particularly during precision maneuvers near complex structures. In this scenario, a drone is programmed to perform a high-precision inspection of a vertical structure, starting at position ((x, y, z) = (3, 0, 0)), with an initial velocity oriented in the positive z-direction. The trajectory of the drone is governed by a time-dependent acceleration function a(t), which is predefined...
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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...
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
Real-World Applications of Space Curves01:29

Real-World Applications of Space Curves

Modern aerospace navigation depends on the accurate prediction of motion in three-dimensional space. In defense applications, radar systems continuously track both interceptors and moving aerial targets to find whether their flight paths will result in a collision. These motions are modeled mathematically as space curves, which represent paths that change continuously with time. Each object’s position is described by a vector function that specifies its location in terms of time-dependent...

You might also read

Related Articles

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

Sort by
Same author

LncRNA-MSTRG.16919.1 regulates the proliferation of BHV-1 in MDBK cells through TAK1/TAB1/TAB2/TAB3 complexes.

BMC veterinary research·2026
Same author

Small-Gain-Based Plug-and-Play Distributed Control Framework for DC Microgrids With Decentralized Reconfiguration.

IEEE transactions on cybernetics·2026
Same author

Association between the C-reactive protein-triglyceride-glucose index and incident cardiovascular disease in middle-aged and older adults with arthritis: a nationwide prospective cohort study with hospital-based cross-sectional replication.

Frontiers in immunology·2026
Same author

Metal-Organic Framework as a Bioorthogonal Catalyst for Gene Editing.

Journal of the American Chemical Society·2026
Same author

Charge-Competition AIEgens Induce Mitochondrial Dysfunction for Selective Eradication of <i>Candida albicans</i> while Restoring Vaginal Microbiota.

Journal of microbiology and biotechnology·2026
Same author

Unidirectional spectral singularity lasing in a defective atomic lattice.

Optics express·2026

Related Experiment Video

Updated: Jun 28, 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

Efficient dynamic cooperative deployment and task scheduling in multi-UAV-assisted MEC for dense dynamic

Chen Peng1, Desheng Zhang2

  • 1Department of Journalism and Communication, Wuhan Sports University, Wuhan, China.

Scientific Reports
|June 26, 2026
PubMed
Summary

This study introduces a new algorithm for multi-unmanned aerial vehicle (UAV)-assisted edge computing. It optimizes UAV deployment and task scheduling to reduce user energy consumption while maintaining system performance and UAV battery life.

Related Experiment Videos

Last Updated: Jun 28, 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

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Robotics

Background:

  • Edge computing offers low-latency services but faces limitations in computation-intensive scenarios.
  • Multi-unmanned aerial vehicle (UAV)-assisted edge computing presents a solution, yet efficient cooperative deployment remains a challenge.

Purpose of the Study:

  • To propose a low-complexity, adaptive approach for cooperative deployment and task scheduling in multi-UAV edge computing.
  • To minimize ground user energy consumption while ensuring UAV battery endurance and overall system performance.

Main Methods:

  • Formulated the problem as a stochastic optimization problem.
  • Developed a dynamic cooperative deployment and task scheduling (DCDTS) algorithm integrating K-means clustering and Lyapunov optimization.
  • Transformed the dynamic problem into deterministic subproblems solvable in parallel, using K-means for deployment/offloading and optimization techniques for scheduling/resource allocation.

Main Results:

  • The DCDTS algorithm effectively reduces user energy consumption.
  • Maintained UAV energy constraints and overall system performance.
  • Demonstrated significant improvements through extensive parameter analysis and comparative experiments.

Conclusions:

  • The proposed dynamic cooperative deployment algorithm offers an efficient solution for multi-UAV-assisted edge computing.
  • The approach balances user energy savings with UAV operational constraints.
  • Highlights the potential of integrated optimization techniques for complex edge computing scenarios.