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

Acid Attack on Concrete01:21

Acid Attack on Concrete

726
When acids come into contact with concrete, they initiate a chemical reaction that dissolves the hydrated cement paste. This process leads to softening and structural weakening of the concrete. This issue is commonly observed in environments such as chimneys, sewers, and industrial settings. The severity of the damage increases as the pH of the water interacting with the concrete drops below 6.5. In particular, a pH under 4.5 can cause significant concrete damage.
The rate at which hydrogen...
726
Sulfate Attack on Concrete01:29

Sulfate Attack on Concrete

715
Sulfate attack on concrete is a deterioration process characterized by a whitish discoloration beginning at the edges and corners, accompanied by cracking and spalling. This phenomenon occurs when sulfates react with the components of hardened concrete, forming compounds like calcium sulfate and calcium sulfoaluminate which occupy more space than the substances they replace, causing the concrete to expand and disrupt.
Sulfates from sources like soil, groundwater, or industrial effluents...
715
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
Protein Networks02:26

Protein Networks

2.8K
2.8K
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
Improving Translational Accuracy02:07

Improving Translational Accuracy

14.1K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
14.1K

You might also read

Related Articles

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

Sort by
Same author

Multimodal Biometric Framework for Evaluating Emotional Impact of Chromatic Manipulation in Cinematic Content.

Sensors (Basel, Switzerland)·2026
Same author

Social support detection from social media texts.

PloS one·2026
Same author

A Systematic Review and Energy-Centric Taxonomy of Jamming Attacks and Countermeasures in Wireless Sensor Networks.

Sensors (Basel, Switzerland)·2026
Same author

Forehead and In-Ear EEG Acquisition and Processing: Biomarker Analysis and Memory-Efficient Deep Learning Algorithm for Sleep Staging with Optimized Feature Dimensionality.

Sensors (Basel, Switzerland)·2025
Same author

Numerical analysis of the impact of noise in pulsing regimes generated using optically injected lasers.

Applied optics·2025
Same author

Adaptive Jamming Mitigation for Clustered Energy-Efficient LoRa-BLE Hybrid Wireless Sensor Networks.

Sensors (Basel, Switzerland)·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 24, 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

2.9K

New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks.

Carolina Del-Valle-Soto1, Carlos Mex-Perera2, Ivan Aldaya3

  • 1Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan, Jalisco 45010, Mexico. cvalle@up.edu.mx.

Sensors (Basel, Switzerland)
|June 5, 2019
PubMed
Summary
This summary is machine-generated.

Two new self-tuning mechanisms, Connected and Extended, improve jamming detection in wireless networks. These methods enhance accuracy and reduce false positives in protocols like AODV, DSR, and MPH.

Keywords:
detection and mitigation jammingperformance metricswireless sensor networks

More Related Videos

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty

Published on: May 5, 2023

1.1K
Bacterial Detection & Identification Using Electrochemical Sensors
09:30

Bacterial Detection & Identification Using Electrochemical Sensors

Published on: April 23, 2013

28.9K

Related Experiment Videos

Last Updated: Jan 24, 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

2.9K
In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty

Published on: May 5, 2023

1.1K
Bacterial Detection & Identification Using Electrochemical Sensors
09:30

Bacterial Detection & Identification Using Electrochemical Sensors

Published on: April 23, 2013

28.9K

Area of Science:

  • Computer Science
  • Wireless Communication
  • Network Security

Background:

  • Wireless networks face jamming attacks that disrupt communication.
  • Existing jamming detection methods may lack accuracy and efficiency.
  • Self-tuning collaborative mechanisms offer a potential solution for robust detection.

Purpose of the Study:

  • To propose and evaluate two novel self-tuning collaborative jamming detection mechanisms: Connected Mechanism and Extended Mechanism.
  • To assess the effectiveness of these mechanisms when integrated with Ad hoc On Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and Multi-Parent Hierarchical (MPH) protocols.
  • To improve the accuracy of jamming detection and reduce the detection of affected zones.

Main Methods:

  • Developed two collaborative jamming detection mechanisms: Connected Mechanism (neighbor performance comparison) and Extended Mechanism (zone-based detection with a collector node).
  • Simulated a 7x7 quadrangular grid network environment with nodes transmitting 10 packets/sec.
  • Implemented and tested the mechanisms within AODV, DSR, and MPH routing protocols, resulting in AODV-M, DSR-M, and MPH-M.
  • Introduced reactive jamming from a jammer node to test detection capabilities.

Main Results:

  • The proposed Connected and Extended Mechanisms significantly improved jamming detection accuracy.
  • Reduced the detection of affected zones by up to 15% for AODV-M and DSR-M.
  • Achieved up to 4% reduction in affected zone detection when using the MPH-M protocol.

Conclusions:

  • The self-tuning collaborative mechanisms provide an effective approach for jamming detection in wireless ad hoc networks.
  • Integration with different routing protocols demonstrates the versatility and applicability of the proposed techniques.
  • The enhanced accuracy and reduced false positives contribute to more reliable wireless network performance under jamming conditions.