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

Instrument Calibration01:12

Instrument Calibration

579
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
579

You might also read

Related Articles

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

Sort by
Same author

Unprecedented polyvinyl polymer loading on SWCNTs in the liquid phase.

Nanoscale·2025
Same author

Intense pH Sensitivity Modulation in Carbon Nanotube-Based Field-Effect Transistor by Non-Covalent Polyfluorene Functionalization.

Nanomaterials (Basel, Switzerland)·2023
Same author

Mathematical Criteria for a Priori Performance Estimation of Activities of Daily Living Recognition.

Sensors (Basel, Switzerland)·2022
Same author

Comparing Commercial Metal-Coated AFM Tips and Home-Made Bulk Gold Tips for Tip-Enhanced Raman Spectroscopy of Polymer Functionalized Multiwalled Carbon Nanotubes.

Nanomaterials (Basel, Switzerland)·2022
Same author

Electrical and Electrochemical Sensors Based on Carbon Nanotubes for the Monitoring of Chemicals in Water-A Review.

Sensors (Basel, Switzerland)·2022

Related Experiment Video

Updated: Dec 11, 2025

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

973

Framework for the Simulation of Sensor Networks Aimed at Evaluating In Situ Calibration Algorithms.

Florentin Delaine1,2,3, Bérengère Lebental1,2,3, Hervé Rivano4

  • 1Efficacity, F-77420 Champs-sur-Marne, France.

Sensors (Basel, Switzerland)
|August 23, 2020
PubMed
Summary

Low-cost environmental sensors degrade quickly, requiring frequent calibration. This study introduces a novel simulation framework for systematically comparing in situ calibration strategies, crucial for dense sensor networks.

Keywords:
calibrationevaluationsensor networksimulation

More Related Videos

Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels
10:00

Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels

Published on: June 2, 2020

22.2K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.6K

Related Experiment Videos

Last Updated: Dec 11, 2025

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

973
Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels
10:00

Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels

Published on: June 2, 2020

22.2K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.6K

Area of Science:

  • Environmental Science
  • Sensor Technology
  • Data Science

Background:

  • Increasing deployment of low-cost sensors for environmental monitoring.
  • Data quality degradation necessitates frequent sensor calibration.
  • Traditional lab calibration is unsustainable for large sensor networks.

Purpose of the Study:

  • To propose the first simulation framework for systematic benchmarking of in situ sensor calibration strategies.
  • To enable reproducible and scalable comparisons of different calibration algorithms.
  • To provide a tool for designing effective low-cost sensor networks.

Main Methods:

  • Development of a simulation framework for sensor networks.
  • Systematic comparison of various in situ calibration strategies.
  • Analysis of calibration performance based on network deployment, algorithm parameters, and evaluation metrics.

Main Results:

  • Calibration performance is highly dependent on network configuration, algorithm parameters, and chosen metrics.
  • The study analyzes the impact of modeling choices and parameter adjustments on calibration outcomes.
  • Demonstration of the framework's utility in designing sensor networks.

Conclusions:

  • The proposed framework facilitates reproducible and scalable evaluation of in situ calibration strategies.
  • Understanding the interplay between network design and calibration is key to optimizing sensor network performance.
  • The framework serves as a valuable tool for the design and deployment of future environmental sensor networks.