Jove
Visualize
Contact Us

Related Concept Videos

Cluster Sampling Method01:20

Cluster Sampling Method

15.6K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
15.6K
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

You might also read

Related Articles

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

Sort by
Same author

Status of disinfection byproducts research in India.

Chemosphere·2023
Same author

Efficacy of simultaneous advanced oxidation and adsorption for treating municipal wastewater for indirect potable reuse.

Chemosphere·2023
Same author

Removal of persistent organic pollutants and disinfection of pathogens from secondary treated municipal wastewater using advanced oxidation processes.

Water science and technology : a journal of the International Association on Water Pollution Research·2022
Same author

National noncommunicable disease monitoring survey (NNMS) in India: Estimating risk factor prevalence in adult population.

PloS one·2021
Same author

Experimental study on thermal properties and electrical conductivity of stabilized H<sub>2</sub>O-solar glycol mixture based multi-walled carbon nanotube nanofluids: developing a new correlation.

Heliyon·2019
Same author

Fuzzy-rough-neural-based f-information for gene selection and sample classification.

International journal of data mining and bioinformatics·2015
Same journal

Opportunities and Challenges of Integrating Ethiopian Traditional Medicine System Into Modern Medicine: A Narrative Review.

TheScientificWorldJournal·2026
Same journal

Exploring the Antiparasitic Activity of the Sea Cucumber Isostichopus sp. aff. badionotus From the Northern Coast of Colombia Against Trypanosoma cruzi.

TheScientificWorldJournal·2026
Same journal

Kalanchoe ceratophylla (Crassulaceae): The True Identity of Sidingin, a Medicinal Plant From Sumatra, Based on Morphological and Molecular Evidence.

TheScientificWorldJournal·2026
Same journal

Genetic Variation of Chicken Growth Differentiation Factor-9 Gene and Association With Egg Characteristics: A Systematic Review.

TheScientificWorldJournal·2026
Same journal

Applied Research on the Effect of Risks on Public Health Building Projects' Performance: Empirical Results From Tanzania.

TheScientificWorldJournal·2026
Same journal

Projected Impacts of Climate and Land Use/Land Cover Change on Sediment Yield and Surface Runoff in the Baro River Sub-Basin, Ethiopia.

TheScientificWorldJournal·2026
See all related articles
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 Experiment Video

Updated: Mar 31, 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

Energy Efficient Cluster Based Scheduling Scheme for Wireless Sensor Networks.

E Srie Vidhya Janani1, P Ganesh Kumar2

  • 1Department of Computer Science and Engineering, Anna University Regional Office Madurai, Madurai 625 007, India.

Thescientificworldjournal
|October 24, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces an Energy Efficient Cluster Based Scheduling Scheme for wireless sensor networks. The protocol enhances network lifetime and energy efficiency by optimizing cluster head selection and data packet scheduling.

Related Experiment Videos

Last Updated: Mar 31, 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

Area of Science:

  • Computer Science
  • Electrical Engineering

Background:

  • Wireless sensor networks (WSNs) face significant challenges in energy utilization due to battery-operated sensor nodes.
  • Scalable and energy-efficient clustering protocols are crucial for maximizing the utility and lifespan of WSNs.

Purpose of the Study:

  • To propose an Energy Efficient Cluster Based Scheduling Scheme (ECBSS) for wireless sensor networks.
  • To balance network lifetime and energy efficiency through optimized clustering and scheduling.

Main Methods:

  • Cluster topology discovery and cluster head selection based on remaining energy.
  • Monitoring network energy threshold to identify cluster member energy drain rates.
  • Implementing a scheduling algorithm to allocate time slots, avoiding congestion.
  • Proposing an energy consumption model to maintain maximum residual energy and a new packet format.

Main Results:

  • The proposed ECBSS significantly enhances network lifetime.
  • Achieved high energy efficiency and reduced communication overhead.
  • Demonstrated a maximum delivery ratio through effective data packet scheduling.

Conclusions:

  • The ECBSS effectively addresses energy utilization challenges in large-scale WSNs.
  • The scheme offers a robust solution for extending WSN operational lifespan and performance.
  • Simulation results validate the scheme's contribution to improved network longevity and efficiency.