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

1.2K
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...
1.2K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

1.2K
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
1.2K
Optimal Foraging00:48

Optimal Foraging

14.1K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
14.1K
Optimization Problems01:26

Optimization Problems

97
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
97
Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

10.9K
Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
10.9K
Energy Stored In A Coaxial Cable01:31

Energy Stored In A Coaxial Cable

2.1K
A coaxial cable consists of a central copper conductor used for transmitting signals, followed by an insulator shield, a metallic braided mesh that prevents signal interference, and a plastic layer that encases the entire assembly.
In the simplest form, a coaxial cable can be represented by two long hollow concentric cylinders in which the current flows in opposite directions. The magnetic field inside and outside the coaxial cable is determined by using Ampère's law. The magnetic field inside...
2.1K

You might also read

Related Articles

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

Sort by
Same author

Validation of Automated Fragmented Red Cell Count by the Sysmex XN-9000: Correlation With Microscopy and Impact of Microcytosis/Hypochromia.

International journal of laboratory hematology·2026
Same author

Cellulosic Engineering Plastic with High Shapeability, Recyclability, Lightweight and High-Strength Properties.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Leveraging PANoptosis-associated genes for unraveling implication of decidualization deficiency in pre-eclampsia via transcriptome data and experiment validation.

Frontiers in cell and developmental biology·2026
Same author

Periodontal bone loss analysis via keypoint detection with heuristic post-processing.

Computers in biology and medicine·2026
Same author

Integrated Prediction System for Individualized Ovarian Stimulation and Ovarian Hyperstimulation Syndrome Prevention: Algorithm Development and Validation.

Journal of medical Internet research·2026
Same author

A gradient-structured all-cellulose biofoam enabled by solvent-induced molecular assembly for sustainable insulation modules.

Nature communications·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: Feb 25, 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

Dynamic Hierarchical Energy-Efficient Method Based on Combinatorial Optimization for Wireless Sensor Networks.

Yuchao Chang1,2, Hongying Tang3, Yongbo Cheng4,5

  • 1Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China. yuchaoc@mail.ustc.edu.cn.

Sensors (Basel, Switzerland)
|July 30, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a dynamic hierarchical protocol based on combinatorial optimization (DHCO) for wireless sensor networks (WSNs). DHCO balances energy consumption and enhances network longevity by optimizing routes through feasible routing sets.

Keywords:
balancing energy consumptioncombinatorial optimizationfeasible routing setshierarchical network structuremaximum minimum criterionwireless sensor networks (WSNs)

More Related Videos

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

730

Related Experiment Videos

Last Updated: Feb 25, 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
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

730

Area of Science:

  • Computer Science
  • Network Engineering
  • Optimization Theory

Background:

  • Wireless Sensor Networks (WSNs) rely on topology control routing protocols for longevity.
  • Traditional WSN routing protocols often lead to uneven traffic load distribution, reducing network lifespan.
  • Optimizing energy consumption is crucial for extending the operational life of sensor nodes.

Purpose of the Study:

  • To propose a novel dynamic hierarchical protocol based on combinatorial optimization (DHCO) for WSNs.
  • To enhance WSN longevity by balancing energy consumption among sensor nodes.
  • To improve upon existing routing protocols by optimizing route selection.

Main Methods:

  • Developed a dynamic hierarchical protocol (DHCO) utilizing combinatorial optimization.
  • Implemented a hierarchy-based connection mechanism to create hierarchical network structures.
  • Formulated optimal route determination as a combinatorial optimization problem, using a maximum-minimum criterion.

Main Results:

  • DHCO effectively balances energy consumption across sensor nodes.
  • Simulation experiments demonstrate the superiority of DHCO over LEACH, HEED, GASONeC, and DCFR algorithms.
  • The proposed protocol significantly improves WSN longevity.

Conclusions:

  • DHCO offers an effective approach to prolonging WSN lifespan through optimized energy distribution.
  • The combinatorial optimization framework provides a robust method for dynamic hierarchical routing.
  • DHCO represents a significant advancement in WSN routing protocol design.