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

Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.2K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.2K
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

16.2K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
16.2K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

676
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...
676
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.5K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.5K
Heuristics01:21

Heuristics

111
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
111
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

109
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
109

You might also read

Related Articles

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

Sort by
Same author

PSO-Based Dynamic RSU Role Assignment Framework for Scalable and Reliable Content Delivery in VANETs.

Sensors (Basel, Switzerland)·2026
Same author

Energy Balancing and Lifetime Extension: A Random Quorum-Based Sink Location Service Scheme for Wireless Sensor Networks.

Sensors (Basel, Switzerland)·2025
Same author

Resource Cluster-Based Resource Search and Allocation Scheme for Vehicular Clouds in Vehicular Ad Hoc Networks.

Sensors (Basel, Switzerland)·2024
Same author

Implicit Overhearing Node-Based Multi-Hop Communication Scheme in IoT LoRa Networks.

Sensors (Basel, Switzerland)·2023
Same author

SF-Partition-Based Clustering and Relaying Scheme for Resolving Near-Far Unfairness in IoT Multihop LoRa Networks.

Sensors (Basel, Switzerland)·2022
Same author

Optimized Distributed Proactive Caching Based on Movement Probability of Vehicles in Content-Centric Vehicular Networks.

Sensors (Basel, Switzerland)·2022

Related Experiment Video

Updated: Jul 23, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.4K

Multiple Precaching Vehicle Selection Scheme Based on Set Ranking in Intermittently Connected Vehicular Networks.

Youngju Nam1, Jaejeong Bang2, Hyunseok Choi1

  • 1Research Institute for Computer and Information Communication, Chungbuk National University, Cheongju 28644, Republic of Korea.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
Summary
This summary is machine-generated.

Vehicular networks face challenges in connectivity due to gaps between roadside units (RSUs). A new Multiple Pre-caching Vehicle Selection (MPVS) scheme improves content delivery in these intermittently connected networks by selecting optimal vehicle groups for data caching and relaying.

Keywords:
content precachingmultiple precaching vehiclesvehicular ad hoc networks

More Related Videos

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K
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

605

Related Experiment Videos

Last Updated: Jul 23, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.4K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K
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

605

Area of Science:

  • Vehicular communication networks
  • Wireless networking
  • Mobile computing

Background:

  • Vehicular networks rely on roadside units (RSUs) for content delivery, but deployment challenges create connectivity gaps (outage zones).
  • These intermittently connected vehicular networks suffer from increased download delays and traffic overhead due to large content sizes and distances between RSUs.
  • Existing precaching schemes for these networks often reduce content request success rates and fairness by prioritizing top-ranked vehicles.

Purpose of the Study:

  • To propose a novel Multiple Pre-caching Vehicle Selection (MPVS) scheme for efficiently selecting a group of vehicles to precache and relay content in vehicular network outage zones.
  • To address the limitations of previous schemes in terms of content request success rate and fairness in intermittently connected vehicular networks.

Main Methods:

  • Developed numerical models to determine the necessity and amount of precaching, and to calculate available precaching capacities of individual vehicles.
  • Designed MPVS to calculate all possible vehicle sets for precaching and rank them based on available precaching amounts.
  • Identified the optimal content-precaching vehicle group by considering both set rankings and vehicle communication overheads.
  • Established a content downloading process utilizing the selected vehicle group within outage zones.

Main Results:

  • Simulation results demonstrated that the MPVS scheme significantly outperforms a representative previous scheme in various environmental and mobility models.
  • The proposed MPVS scheme effectively manages content precaching and relaying in vehicular network outage zones.
  • MPVS enhances the efficiency of content delivery in intermittently connected vehicular networks.

Conclusions:

  • The MPVS scheme provides a superior solution for content delivery in intermittently connected vehicular networks compared to existing methods.
  • MPVS improves the success rate and fairness of content requests by intelligently selecting a group of precaching vehicles.
  • This approach offers a viable strategy for mitigating connectivity issues in challenging vehicular network deployments.