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

Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

6.0K
In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...
6.0K
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
Network Covalent Solids02:18

Network Covalent Solids

16.1K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.1K
Operational Amplifiers01:17

Operational Amplifiers

1.9K
The operational amplifier, often referred to as an op-amp, is a multifaceted building block of a circuit. This electronic component functions like a voltage-controlled voltage source and can also be used to create a voltage- or current-controlled current source. The design of an operational amplifier enables it to execute mathematical operations when external components like resistors and capacitors are linked to its terminals. An op-amp has the capacity to sum signals, amplify a signal,...
1.9K
Vector Operations01:20

Vector Operations

2.2K
Vectors are physical quantities that have both magnitude and direction. The vector operations include addition, subtraction, and scalar multiplication.
A vector multiplied by a scalar value is called scalar multiplication. The result obtained is a new vector with a different magnitude. If the scalar is positive, the direction of the vector remains the same, but if it is negative, the direction of the vector is reversed. For example, the product of the mass and velocity yields the momentum.
2.2K
Operant Conditioning01:21

Operant Conditioning

2.9K
Operant conditioning, a key concept in behavioral psychology, involves using reinforcement and punishment to alter the likelihood of a behavior being repeated. B.F. introduced this type of conditioning. Skinner focused on voluntary behaviors and the consequences that follow them, influencing whether these behaviors will be strengthened or diminished.
Reinforcement in operant conditioning can be positive or negative, both of which serve to increase the likelihood of a behavior. Positive...
2.9K

You might also read

Related Articles

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

Sort by
Same author

Interacting with IoT Data Spaces Using LLMs and the Model Context Protocol.

Sensors (Basel, Switzerland)·2026
Same author

Dew-Cloud-Based Hierarchical Federated Learning for Intrusion Detection in IoMT.

IEEE journal of biomedical and health informatics·2022
Same author

Beacons and Blockchains in the Mobile Gaming Ecosystem: A Feasibility Analysis.

Sensors (Basel, Switzerland)·2021
Same author

Controller⁻Pilot Data Link Communication Security.

Sensors (Basel, Switzerland)·2018
Same author

Secure and Efficient Reactive Video Surveillance for Patient Monitoring.

Sensors (Basel, Switzerland)·2016
Same author

Mobile phone call data as a regional socio-economic proxy indicator.

PloS one·2015

Related Experiment Video

Updated: Jan 27, 2026

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

8.5K

Transparent CoAP Services to IoT Endpoints through ICN Operator Networks.

Hasan Mahmood Aminul Islam1, Dmitrij Lagutin2, Antti Ylä-Jääski3

  • 1Department of Computer Science, Aalto University, 02150 Espoo, Finland. hasan02.buet@gmail.com.

Sensors (Basel, Switzerland)
|March 20, 2019
PubMed
Summary

A new CoAP handler shifts complexity to the ICN network, reducing resource demands on constrained Internet of Things (IoT) devices. This approach enhances CoAP performance by offloading processing from endpoints.

Keywords:
CoAPICNIoT

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

4.2K
Operation of a Benchtop Bioreactor
12:54

Operation of a Benchtop Bioreactor

Published on: September 12, 2013

91.9K

Related Experiment Videos

Last Updated: Jan 27, 2026

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

8.5K
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

4.2K
Operation of a Benchtop Bioreactor
12:54

Operation of a Benchtop Bioreactor

Published on: September 12, 2013

91.9K

Area of Science:

  • Computer Science
  • Networking
  • Internet of Things (IoT)

Background:

  • The Constrained Application Protocol (CoAP) is designed for resource-constrained devices in the Internet of Things (IoT).
  • Implementing full CoAP services on IoT devices can demand significant computing power, energy, and storage.
  • Existing CoAP extensions offer advanced functionalities but exacerbate endpoint resource limitations.

Purpose of the Study:

  • To design and implement a CoAP handler that leverages Information-Centric Networking (ICN).
  • To demonstrate how an ICN core network can transparently provide CoAP services.
  • To reduce the computational, communication, and state management overhead on constrained IoT devices.

Main Methods:

  • Development of a CoAP handler integrated with an ICN core network.
  • Transparently serving CoAP requests and responses through the ICN infrastructure.
  • Experimental evaluation of the CoAP handler's performance and impact on endpoint resource usage.

Main Results:

  • The CoAP handler successfully provides CoAP services via the ICN core network.
  • CoAP traffic routed over ICN shifts overhead and complexity away from constrained endpoints.
  • Experimental results confirm reduced computation complexity, communication overhead, and state management for CoAP servers.

Conclusions:

  • The proposed CoAP handler effectively offloads processing to the ICN network, addressing endpoint constraints.
  • This architecture enables the full potential of CoAP applications in IoT environments.
  • The solution significantly enhances the feasibility of deploying sophisticated CoAP services on limited-resource IoT devices.