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

Measuring Reaction Rates03:09

Measuring Reaction Rates

29.0K
Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical...
29.0K
The Z-Scheme of Electron Transport in Photosynthesis01:34

The Z-Scheme of Electron Transport in Photosynthesis

13.7K
The light reactions of photosynthesis assume a linear flow of electrons from water to NADP+. During this process, light energy drives the splitting of water molecules to produce oxygen. However, oxidation of water molecules is a thermodynamically unfavorable reaction and requires a strong oxidizing agent. This is accomplished by the first product of light reactions: oxidized P680 (or P680+), the most powerful oxidizing agent known in biology. The oxidized P680 that acquires an electron from the...
13.7K
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
The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

56.1K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
56.1K
Reaction Rate02:53

Reaction Rate

63.0K
The rate of reaction is the change in the amount of a reactant or product per unit time. Reaction rates are therefore determined by measuring the time dependence of some property that can be related to reactant or product amounts. Rates of reactions that consume or produce gaseous substances, for example, are conveniently determined by measuring changes in volume or pressure.
The mathematical representation of the change in the concentration of reactants and products, over time, is the rate...
63.0K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
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...
16.2K

You might also read

Related Articles

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

Sort by
Same author

Characterization of noise in long-term ECG monitoring with machine learning based on clinical criteria.

Medical & biological engineering & computing·2023
Same author

On Power Line Positioning Systems.

Sensors (Basel, Switzerland)·2022
See all related articles

Related Experiment Video

Updated: Jan 30, 2026

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver
08:25

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver

Published on: August 27, 2021

3.0K

Rate-Distortion Performance and Incremental Transmission Scheme of Compressive Sensed Measurements in Wireless Sensor

Felipe Da Rocha Henriques1, Lisandro Lovisolo2, Eduardo Antônio Barros da Silva3

  • 1Coordenação de Telecomunicações-CEFET/RJ-Campus Petrópolis, Petrópolis 25620-003, Brazil. felipe.henriques@cefet-rj.br.

Sensors (Basel, Switzerland)
|January 16, 2019
PubMed
Summary

Compressive Sensing (CS) in wireless sensor networks (WSNs) efficiently reduces data transmission, saving energy. This CS coding framework demonstrates robustness against packet loss and enables adaptive data transmission.

Keywords:
compressive sensingsuccessive approximationwireless sensor network

More Related Videos

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor
07:28

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor

Published on: August 30, 2012

11.2K
Hollow Microneedle-based Sensor for Multiplexed Transdermal Electrochemical Sensing
08:19

Hollow Microneedle-based Sensor for Multiplexed Transdermal Electrochemical Sensing

Published on: June 1, 2012

15.0K

Related Experiment Videos

Last Updated: Jan 30, 2026

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver
08:25

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver

Published on: August 27, 2021

3.0K
Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor
07:28

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor

Published on: August 30, 2012

11.2K
Hollow Microneedle-based Sensor for Multiplexed Transdermal Electrochemical Sensing
08:19

Hollow Microneedle-based Sensor for Multiplexed Transdermal Electrochemical Sensing

Published on: June 1, 2012

15.0K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Signal Processing

Background:

  • Wireless Sensor Networks (WSNs) are crucial for environmental monitoring.
  • Energy efficiency is a primary concern for sensor nodes in WSNs.
  • Compressive Sensing (CS) offers a method to reduce data transmission volume.

Purpose of the Study:

  • To investigate the application of Compressive Sensing (CS) for energy-efficient data monitoring in WSNs.
  • To evaluate the rate-distortion performance of CS coded data, including scenarios with coefficient loss.
  • To develop a successive approximation scheme for adaptive and flexible incremental transmission of CS data.

Main Methods:

  • Sensor nodes collect N environmental data samples.
  • Samples are encoded using Compressive Sensing (CS) to transmit M < N coefficients.
  • CS coefficients are uniformly quantized and entropy coded.
  • Rate-distortion performance is analyzed under packet loss conditions.
  • A successive approximation strategy for quantizing CS coefficients is proposed.

Main Results:

  • The CS coding framework exhibits robustness against packet loss.
  • The proposed successive approximation scheme allows for efficient incremental data transmission.
  • The scheme provides adaptivity and flexibility in rate allocation.
  • Minimal rate-distortion performance penalty is observed with the successive approximation scheme.

Conclusions:

  • Compressive Sensing is a viable technique for energy-efficient data acquisition in WSNs.
  • The proposed successive approximation method enhances the practicality of CS in WSNs by enabling adaptive transmission.
  • The CS framework is resilient to data loss, making it suitable for real-world environmental monitoring applications.