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

You might also read

Related Articles

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

Sort by
Same author

Nanoassembled SERS Sensing for Complex Biological Systems: From Hotspot Engineering to Interface Regulation.

Accounts of chemical research·2026
Same author

Clinical application study of E3D-assisted design combined with personalized 3D printed guide system in the treatment of pelvic fractures.

Frontiers in surgery·2026
Same author

Electrostatic force microscopy in biomedicine: From molecular charge transport to cellular electrophenotyping.

Biophysical chemistry·2026
Same author

Theoretical model and practical application of calibrating cloth method for measuring vehicle speed status.

Traffic injury prevention·2026
Same author

Overall survival and long-term safety of olaparib maintenance in patients with platinum-sensitive relapsed ovarian cancer: final analyses of phase III L-MOCA trial.

Journal of ovarian research·2026
Same author

The enzymatic mechanisms of lactylation and its role in gynecological diseases: a comprehensive review.

Frontiers in immunology·2026
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

Related Experiment Video

Updated: Jul 9, 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

8.1K

Clustering and Beamwidth Optimization for UAV-Assisted Wireless Communication.

Weidong Zhao1,2, Jun Zhang1, Dongxing Li1

  • 1College of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
Summary
This summary is machine-generated.

This study proposes an improved k-means clustering and fixed-point iteration (FPI) algorithm to optimize unmanned aerial vehicle (UAV) beamwidth for enhanced energy efficiency in wireless communication networks. The method effectively clusters randomly distributed users, improving system performance.

Keywords:
UAV wireless communicationsbeamwidthenergy efficiencyground user clustering

More Related Videos

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
08:08

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Published on: March 6, 2019

5.3K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.4K

Related Experiment Videos

Last Updated: Jul 9, 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

8.1K
Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
08:08

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Published on: March 6, 2019

5.3K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.4K

Area of Science:

  • Wireless Communication
  • Aerial Networks
  • Optimization Algorithms

Background:

  • Unmanned aerial vehicles (UAVs) are increasingly utilized in wireless communication, acting as aerial base stations for diverse ground and marine users.
  • Random user distribution and varying densities in urban/rural areas pose challenges for UAV-based communication efficiency.
  • Optimizing UAV energy efficiency is crucial for sustainable and effective deployment in complex communication scenarios.

Purpose of the Study:

  • To develop a novel method for clustering ground users and optimizing UAV beamwidth.
  • To enhance the energy efficiency of UAV-assisted wireless communication systems.
  • To analyze the impact of key parameters on system performance.

Main Methods:

  • Derivation of the energy efficiency expression for a UAV in a downlink system.
  • Application of an improved k-means algorithm for clustering non-uniformly distributed users based on geographical data.
  • Utilization of a fixed-point iteration (FPI) algorithm to determine optimal UAV beamwidth post-clustering.

Main Results:

  • The proposed algorithm demonstrates superior performance in improving the energy efficiency of UAV-assisted wireless communication.
  • Simulation analysis validates the effectiveness of the clustering and beamwidth optimization method.
  • The study analyzes the influence of parameters like cluster number and transmission power on overall system energy efficiency.

Conclusions:

  • The developed clustering and beamwidth optimization strategy significantly enhances UAV energy efficiency.
  • The improved k-means and FPI algorithms provide a robust solution for managing randomly distributed users.
  • This research offers valuable insights for designing efficient UAV-based wireless communication networks.