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

Optimal Foraging00:48

Optimal Foraging

13.7K
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.
13.7K
Optimization Problems01:26

Optimization Problems

36
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...
36
Optimal Arousal Theory01:23

Optimal Arousal Theory

785
The optimal arousal theory suggests that performance is maximized when an individual experiences a moderate level of arousal. This theory is closely tied to the Yerkes-Dodson law, which illustrates an inverted U-shaped relationship between arousal and performance. The law, formulated by psychologists Robert Yerkes and John Dodson, implies an ideal arousal level for optimal performance, and deviations from this level can lead to declines in effectiveness.
Inverted U-Shaped Performance Curve
The...
785
Unrealistic Optimism Bias01:30

Unrealistic Optimism Bias

215
Unrealistic optimism bias is the tendency to overestimate the likelihood of positive outcomes. This cognitive bias makes individuals believe they are less likely to experience failures, setbacks, or risks and more likely to succeed than others. For example, people may assume they are less prone to health issues, accidents, or financial struggles than their peers, even when they share similar risk factors.One key component of this bias is the above-average effect, where individuals perceive...
215
Optimizing Chromatographic Separations01:15

Optimizing Chromatographic Separations

903
Optimizing chromatographic separations is crucial for obtaining clean separations in a minimum amount of time. Optimization is required for several factors, including kinetic effects related to band broadening, plate height, capacity factor, and separation factor.
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...
903
Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K

You might also read

Related Articles

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

Sort by
Same author

Comparative performance evaluation of machine learning classifiers for multi-class intrusion detection on the NSL-KDD dataset.

Scientific reports·2026
Same author

Exploring the Multifunctionality of Cu/Mn-Doped ZnS Nanosheets: A Promising Material for Cancer Therapy and Advanced Antimicrobial Applications.

Journal of biomedical materials research. Part B, Applied biomaterials·2025
Same author

India's 2021 differentiated TB care guidance: Is it feasible to implement and act upon?

The Indian journal of tuberculosis·2025
Same author

Dual-doped zinc sulfide nanosheets with magnesium and Copper: Multifunctional agents for cancer, microbial, oxidative, and hemolytic defense.

Microbial pathogenesis·2025
Same author

Naphthalene derived Schiff base as a reversible fluorogenic chemosensor for aluminium ions detection.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2023
Same author

Sulfur deficiency mediated visible emission of ZnS QDs by magnesium dopant and their application in waste water treatment.

Heliyon·2023

Related Experiment Video

Updated: Jan 21, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.5K

Modeling a Novel Self-Optimized Wolf Optimizer for a Heterogeneous Network Model for Energy and Node Lifetime

Narla Mahendra1, S Murugan2

  • 1School of Computing, Sathyabama Institute of Science and Technology, Deemed to be University; narla.mahendra@gmail.com.

Journal of Visualized Experiments : Jove
|January 19, 2026
PubMed
Summary

This study enhances Wireless Sensor Networks (WSNs) using a modified Self-Optimized Wolf Optimizer (SOWO) routing protocol. The new method improves network stability and residual energy, extending operational lifespan for critical data transmission.

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

1.1K
Optimized Analysis of In Vivo and In Vitro Hepatic Steatosis
08:58

Optimized Analysis of In Vivo and In Vitro Hepatic Steatosis

Published on: March 11, 2017

16.8K

Related Experiment Videos

Last Updated: Jan 21, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.5K
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

1.1K
Optimized Analysis of In Vivo and In Vitro Hepatic Steatosis
08:58

Optimized Analysis of In Vivo and In Vitro Hepatic Steatosis

Published on: March 11, 2017

16.8K

Area of Science:

  • Computer Science
  • Network Engineering
  • Artificial Intelligence

Background:

  • Wireless Sensor Networks (WSNs) are crucial for data transmission from hazardous environments.
  • Homogeneous routing protocols in WSNs face challenges like high energy consumption and reduced dependability over time.
  • Existing protocols struggle with energy hole issues and balancing load for sustained network operation.

Purpose of the Study:

  • To develop an energy-efficient routing protocol for WSNs.
  • To overcome the limitations of homogeneous routing protocols in WSNs.
  • To enhance network lifetime and data transmission reliability.

Main Methods:

  • A modified Self-Optimized Wolf Optimizer (SOWO) algorithm was employed.
  • Heterogeneous nodes were incorporated, with cluster head selection based on remaining energy.
  • An energy hole elimination strategy was implemented for optimized routing.

Main Results:

  • The proposed routing scheme demonstrated superior network stability and residual energy.
  • Improvements of 3.4% in network stability and 32.22% in residual energy were observed compared to existing algorithms.
  • The method effectively balances load and extends the network lifespan.

Conclusions:

  • The modified SOWO routing protocol significantly enhances WSN performance.
  • The energy hole elimination method and heterogeneous node strategy are effective for improving network longevity.
  • This research offers a robust solution for maximizing WSN lifetime and data delivery under energy constraints.