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

Design Example: Design of an Irrigation Channel01:27

Design Example: Design of an Irrigation Channel

978
Trapezoidal channels are widely used in irrigation systems due to their cost-effectiveness and efficiency in conveying water. Trapezoidal channels feature a flat bottom and sloping sides, making them stable and easier to construct compared to other shapes. The bottom width and side slope ratio are determined based on the required flow capacity and site conditions. The side slope is kept gentle for unlined channels to prevent soil erosion.Hydraulic parameters in channel design include the flow...
978

You might also read

Related Articles

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

Sort by
Same author

NEK2 alleviates renal inflammation and apoptosis in sepsis- associated acute kidney injury by activating the MAPK signaling pathway.

Immunobiology·2026
Same author

Noninvasive Volume Measurement of Cerebral Arteriovenous Malformation Nidus: Silent MRA Compared with TOF-MRA.

AJNR. American journal of neuroradiology·2026
Same author

Effect of IL-6 receptor inhibition on infarct volume after endovascular treatment for ischaemic stroke: a phase 2, randomised, placebo-controlled trial.

EBioMedicine·2026
Same author

Simultaneous heterotopia of the gastric mucosa and pancreatic tissue leads to perforation of the small intestine: case report and literature review.

AME case reports·2026
Same author

Correction: TACE-HAIC versus HAIC combined with TKIs and ICIs for hepatocellular carcinoma with a high tumor burden-a propensity-score matching comparative study.

Frontiers in immunology·2026
Same author

Multisequence MRI Enables High-Fidelity FDG-PET Synthesis for Epilepsy Using GANs.

Journal of magnetic resonance imaging : JMRI·2026

Related Experiment Video

Updated: Mar 10, 2026

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

1.2K

Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs.

Guisong Yang1,2, Shuai Liu3, Xingyu He4,5

  • 1Department of Computer Science and Engineering, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. gsyang@usst.edu.cn.

Sensors (Basel, Switzerland)
|December 13, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive mobile sink trajectory for Wireless Sensor Networks (WSNs). The method optimizes data gathering by adjusting paths based on subarea node density, improving packet delivery and network lifespan.

Keywords:
Hilbert space-filling curvemobile sinkmovement trajectorynode densitypower control

More Related Videos

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.9K

Related Experiment Videos

Last Updated: Mar 10, 2026

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

1.2K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.9K

Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Sensor Networks

Background:

  • Mobile sink trajectories significantly impact Wireless Sensor Network (WSN) performance, including coverage, packet delivery ratio, and network lifetime.
  • Heterogeneous node densities across subareas in WSNs pose challenges for static or non-adaptive mobile sink paths, potentially reducing efficiency.
  • Existing trajectory designs often fail to account for variations in node distribution, leading to suboptimal data gathering.

Purpose of the Study:

  • To propose an adjustable trajectory design method for mobile sinks in WSNs that adapts to varying node densities.
  • To enhance data gathering efficiency, packet delivery ratio, and network lifetime in WSNs with heterogeneous node distributions.
  • To introduce an adaptable power control scheme to complement the dynamic trajectory adjustments.

Main Methods:

  • Designed a mobile sink trajectory based on the Hilbert space-filling curve, adapting it to specific subarea node densities.
  • Constructed an initial trajectory based on overall network size, then refined it for each subarea.
  • Integrated subarea trajectories to create a comprehensive network movement path for the mobile sink.
  • Developed an adaptable power control scheme adjusting node transmission ranges dynamically with the mobile sink's movement.

Main Results:

  • The proposed adjustable trajectories demonstrated flexibility in adapting to network changes and varying node densities.
  • Achieved superior performance in packet delivery ratio compared to trajectories based solely on network size or uniform density.
  • Showcased improved energy consumption efficiency over traditional trajectory design methods.
  • The adaptable power control scheme effectively supported the dynamic trajectory adjustments.

Conclusions:

  • The proposed node-density-based adjustable trajectory design is effective for mobile sinks in WSNs with heterogeneous node distributions.
  • This adaptive approach significantly enhances WSN performance metrics, including packet delivery ratio and energy efficiency.
  • The method offers a flexible and robust solution for optimizing data gathering in dynamic WSN environments.