Jove
Visualize
Contact Us

Related Concept Videos

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

2.1K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
2.1K
Random Sampling Method01:09

Random Sampling Method

15.6K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures 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. Among the various sampling methods used by...
15.6K
Random Variables01:09

Random Variables

18.7K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
18.7K
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

570
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
570
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

1.6K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.6K
Probability Distributions01:32

Probability Distributions

13.1K
 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
13.1K

You might also read

Related Articles

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

Sort by
Same author

A lightweight metaheuristic-driven adaptive PID approach for nonlinear conical tank regulation.

Scientific reports·2026
Same author

Optimization of pyrolysis parameters for enhanced biochar production from agricultural biomass: A study on energy efficiency and carbon sequestration potential.

The Science of the total environment·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 23, 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

A Dynamic Probabilistic Based Broadcasting Scheme for MANETs.

Kannan Shanmugam1, Karthik Subburathinam1, Arunachalam Velayuthampalayam Palanisamy1

  • 1Department of CSE, SNS College of Technology, Coimbatore, Tamil Nadu 641 035, India.

Thescientificworldjournal
|March 29, 2016
PubMed
Summary

Mobile Ad Hoc Networks (MANETs) face throughput issues due to dynamic topology. This study introduces Dynamic Probabilistic Route (DPR) discovery to improve routing efficiency and reduce packet collisions.

Related Experiment Videos

Last Updated: Mar 23, 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
  • Network Engineering

Background:

  • Mobile Ad Hoc Networks (MANETs) are infrastructure-less networks with dynamic topologies.
  • Dynamic topology changes frequently, causing route failures and reduced network throughput.
  • Existing proactive routing protocols often use simple flooding, leading to high contention and packet collisions.

Purpose of the Study:

  • To address the throughput degradation and routing complexity in MANETs.
  • To introduce a novel routing discovery approach for enhanced network performance.
  • To reduce the negative impact of flooding in MANET routing.

Main Methods:

  • Introduced Dynamic Probabilistic Route (DPR) discovery.
  • Dynamically calculated Node's Forwarding Probability (NFP) using a Probability Function (PF).
  • PF considers local neighbor density and cumulative broadcast coverage.

Main Results:

  • The proposed DPR approach aims to increase network throughput.
  • It seeks to reduce routing complexity compared to existing methods.
  • The method mitigates issues associated with simple flooding.

Conclusions:

  • DPR offers a more efficient routing discovery mechanism for MANETs.
  • It balances routing complexity with improved network throughput.
  • This approach provides a promising solution for dynamic network environments.