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

Microbial Biosensors01:17

Microbial Biosensors

16
Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
16
Semiconductors01:22

Semiconductors

1.8K
There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
1.8K
iChip01:24

iChip

23
The cultivation of environmental microorganisms has long been hindered by the inability to replicate complex native conditions in vitro. The isolation chip (iChip) addresses this limitation by facilitating the growth of previously uncultivable microorganisms through in situ incubation. Designed for high-throughput microbial cultivation, the iChip comprises hundreds of microchambers, each capable of housing a single microbial cell. These microchambers are loaded with a mixture of molten agar and...
23
Microcracking in Concrete01:20

Microcracking in Concrete

529
Microcracking in concrete refers to the tiny cracks that can form within the material even before any external load is applied. These microcracks typically occur at the interface between the coarse aggregate and the hydrated cement paste, often as a result of differential volume changes prompted by variations in stress-strain behavior, as well as thermal and moisture movement. Initially, these microcracks remain stable and do not grow substantially until the concrete is stressed to about 30...
529
Non-ohmic Devices00:51

Non-ohmic Devices

1.7K
In most substances, the current flow is proportional to the voltage applied to it. A simple relationship between the values of current, voltage, and resistance is known as Ohm's law. Nonohmic devices do not exhibit a linear relationship between voltage and current. One such device is the semiconducting circuit element known as a diode. A diode is a circuit device that allows current flow in only one direction.
Consider a simple circuit consisting of a battery, a diode, and a resistor. A...
1.7K
Clamper Circuit01:14

Clamper Circuit

1.2K
A clamper circuit, also known as a DC restorer, represents a specialized variant of the rectifier circuit, notable for its method of taking the output across the diode rather than the capacitor. This configuration lends to several distinctive applications, particularly in handling square wave inputs.
Within this circuit, the diode's orientation prompts the capacitor to charge up to the level of the most negative peak of the input signal. Upon reaching this state, the diode ceases to...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Impact of Obstructive Sleep Apnea-Hypopnea Syndrome Severity on Heart Rate Variability and QTc Interval in Hypertensive Patients.

Medicina (Kaunas, Lithuania)·2025
Same author

Potato Late Blight Outbreak: A Study on Advanced Classification Models Based on Meteorological Data.

Sensors (Basel, Switzerland)·2024
Same author

Image Processing for Smart Agriculture Applications Using Cloud-Fog Computing.

Sensors (Basel, Switzerland)·2024
Same author

Prediction of Pest Insect Appearance Using Sensors and Machine Learning.

Sensors (Basel, Switzerland)·2021
Same author

Semiconductor Gas Sensors: Materials, Technology, Design, and Application.

Sensors (Basel, Switzerland)·2020
Same author

Advanced Signal Processing and Adaptive Learning Methods.

Computational intelligence and neuroscience·2019

Related Experiment Video

Updated: Mar 22, 2026

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

1.2K

An Embedded Sensor Node Microcontroller with Crypto-Processors.

Goran Panić1, Oliver Stecklina2, Zoran Stamenković3

  • 1IHP, Im Technologiepark 25, 15236 Frankfurt, Germany. panic@ihp-microelectronics.com.

Sensors (Basel, Switzerland)
|April 30, 2016
PubMed
Summary

This study presents a secure, low-power microcontroller for wireless sensor networks (WSNs). It addresses critical security challenges in WSNs by integrating hardware accelerators for advanced cryptography, enhancing data protection in sensitive applications.

Keywords:
cryptographyprocessorsecuritysensor nodesystem-on-chip

More Related Videos

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

9.9K
A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
11:32

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

Published on: January 19, 2022

4.0K

Related Experiment Videos

Last Updated: Mar 22, 2026

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

1.2K
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

9.9K
A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
11:32

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

Published on: January 19, 2022

4.0K

Area of Science:

  • Computer Engineering
  • Embedded Systems
  • Network Security

Background:

  • Wireless sensor networks (WSNs) are crucial for applications like industrial automation, environmental monitoring, and healthcare.
  • Data sensitivity in WSNs necessitates robust security measures against attacks and physical capture.
  • Resource constraints (power, memory, computation) in sensor nodes pose significant security challenges.

Purpose of the Study:

  • To introduce a novel embedded sensor node microcontroller designed for high-security WSN applications.
  • To provide a hardware solution that mitigates the security vulnerabilities inherent in resource-constrained sensor devices.
  • To detail the architecture, implementation, and evaluation of a secure microcontroller for WSNs.

Main Methods:

  • Design of a low-power 16-bit processor core with integrated hardware accelerators for cryptographic operations.
  • Incorporation of embedded Flash memory and an 8-channel 12-bit analog-to-digital converter (ADC).
  • Discussion of WSN security topics, chip implementation, verification, hardware evaluation, and performance analysis.

Main Results:

  • The proposed microcontroller offers a hardware-accelerated approach to complex cryptographic operations, crucial for secure WSNs.
  • Integration of essential components like Flash memory and an ADC makes it suitable for low-power sensor nodes.
  • The design aims to balance security demands with the power and computational limitations of sensor devices.

Conclusions:

  • The developed microcontroller provides a viable hardware solution for enhancing security in wireless sensor networks.
  • The integrated hardware accelerators significantly improve the efficiency of cryptographic algorithms on sensor nodes.
  • This solution addresses key security challenges, enabling more secure and reliable WSN deployments across various applications.