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

Transformers in Distribution System01:27

Transformers in Distribution System

417
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
417
Distributed Loads01:19

Distributed Loads

807
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
807
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

486
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
486
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

948
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...
948
Storage01:23

Storage

247
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
247
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

164
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
164

You might also read

Related Articles

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

Sort by
Same author

Butler-Matrix Beamspace Front-Ends for Massive MIMO: Architecture, Loss Budget, and Capacity Impact.

Sensors (Basel, Switzerland)·2025
Same author

Optimization of ISAC Trade-Off via Covariance Matrix Allocation in Multi-User Systems.

Entropy (Basel, Switzerland)·2025
Same author

FFT-Based Angular Compression for CSI Feedback in Single-User Massive MIMO Systems.

Sensors (Basel, Switzerland)·2025
Same author

Multi-Objective Routing Optimization for 6G Communication Networks Using a Quantum Approximate Optimization Algorithm.

Sensors (Basel, Switzerland)·2022

Related Experiment Video

Updated: Nov 30, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.4K

Semantic Distributed Data for Vehicular Networks Using the Inter-Planetary File System.

Victor Ortega1, Jose F Monserrat2

  • 1Casa Systems, 46014 Valencia, Spain.

Sensors (Basel, Switzerland)
|November 13, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a semantic distributed network for vehicular communications, enhancing data sharing and processing. The Inter-Planetary File System (IPFS) enables efficient, secure information exchange between vehicles and road-side units (RSUs).

Keywords:
ICNIPFSP2PQUICV2X communicationscooperative perceptionsemantic data

More Related Videos

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

4.0K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.2K

Related Experiment Videos

Last Updated: Nov 30, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.4K
Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

4.0K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.2K

Area of Science:

  • Computer Science
  • Networking
  • Intelligent Transportation Systems

Background:

  • Vehicular networks enable data distribution for enhanced vehicle efficiency and safety.
  • Current systems lack efficient data structuring, accessibility, and processing for shared information.
  • Intelligent vehicles require robust systems for accessing traffic data and remote sensor information.

Purpose of the Study:

  • To propose a semantic distributed network for vehicular communications.
  • To leverage content-addressed networking and peer-to-peer (P2P) connections for data management.
  • To facilitate the development of intelligent autonomous agents for data navigation and processing.

Main Methods:

  • Utilizing the Inter-Planetary File System (IPFS) for a P2P network architecture.
  • Employing ontologies for semantic data representation by vehicles and road-side units (RSUs).
  • Implementing content-addressed networking and the QUIC protocol for secure, distributed storage.

Main Results:

  • Demonstrated the feasibility of the proposed semantic distributed network.
  • IPFS offers a strong balance of functionality, performance, and security for vehicular data.
  • The system facilitates semantic data representation and intelligent agent development.

Conclusions:

  • The proposed IPFS-based P2P network is a viable solution for vehicular data sharing.
  • Semantic representation enhances data accessibility and processing in intelligent transportation systems.
  • IPFS shows significant promise for future vehicular network infrastructure.