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

Maximum Power Transfer01:16

Maximum Power Transfer

543
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
543
Propagation Speed of Electromagnetic Waves01:30

Propagation Speed of Electromagnetic Waves

4.2K
Electromagnetic waves are consistent with Ampere's law. Assuming there is no conduction current Ampere's law is given as:
4.2K
Energy and Power Signals01:17

Energy and Power Signals

775
In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
775
Signal Flow Graphs01:18

Signal Flow Graphs

387
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
387
Transmission Line Design Considerations01:23

Transmission Line Design Considerations

251
Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
251
Intensity Of Electromagnetic Waves01:22

Intensity Of Electromagnetic Waves

5.1K
The energy transport per unit area per unit time, or the Poynting vector, gives the energy flux of an electromagnetic wave at any specific time. For a plane electromagnetic wave with E0 and B0 as the peak electric and magnetic fields and traveling along the x-axis, the time-varying energy flux can be given by the following equation:
5.1K

You might also read

Related Articles

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

Sort by
Same author

Data Compression in LoRa Networks: Performance and Energy Trade-Offs of Classical and Cutting-Edge Compression Algorithms.

Sensors (Basel, Switzerland)·2026
Same author

High-Accuracy Deep Learning-Based Detection and Classification Model in Color-Shift Keying Optical Camera Communication Systems.

Sensors (Basel, Switzerland)·2025
Same author

Line-of-Sight Probability Analysis of Underground Mining Visible Light Communication Diversity Schemes Under Random Receiver Orientation.

Sensors (Basel, Switzerland)·2025
Same author

On Superposition Lattice Codes for the <i>K</i>-User Gaussian Interference Channel.

Entropy (Basel, Switzerland)·2024
Same author

Correction: López-Vilos et al. Clustering-Based Energy-Efficient Self-Healing Strategy for WSNs under Jamming Attacks. <i>Sensors</i> 2023, <i>23</i>, 6894.

Sensors (Basel, Switzerland)·2024
Same author

A Survey on the Impact of Intelligent Surfaces in the Terahertz Communication Channel Models.

Sensors (Basel, Switzerland)·2024

Related Experiment Video

Updated: Oct 31, 2025

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.2K

Performance Analysis of the IEEE 802.15.4 Protocol for Smart Environments under Jamming Attacks.

Nicolás López-Vilos1, Claudio Valencia-Cordero2, Cesar Azurdia-Meza1

  • 1Department of Electrical Engineering, Universidad de Chile, Santiago 8370451, Chile.

Sensors (Basel, Switzerland)
|July 2, 2021
PubMed
Summary

Jamming attacks significantly degrade wireless sensor network (WSN) performance. This study introduces a testbed to evaluate jamming impacts on WSNs, revealing performance metrics and energy efficiency under various attack strategies.

Keywords:
IEEE 802.15.4Internet of Things (IoT)cybersecurityprivacysecuritywireless sensor networks

More Related Videos

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

877
Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

3.3K

Related Experiment Videos

Last Updated: Oct 31, 2025

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.2K
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

877
Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

3.3K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Security

Background:

  • Wireless Sensor Networks (WSNs) are crucial for smart environments.
  • Jamming attacks pose a significant threat to WSN security and stability.
  • Evaluating WSN performance under jamming is essential for reliable smart systems.

Purpose of the Study:

  • To propose and utilize an experimental testbed for analyzing WSN performance under jamming attacks.
  • To assess the impact of jamming on key metrics like goodput, packet receive rate (PRR), and energy consumption.
  • To understand the risks jamming poses to users and networks in smart scenarios.

Main Methods:

  • Developed an experimental testbed to simulate jamming attacks on WSNs using IEEE 802.15.4 CSMA/CA.
  • Evaluated performance metrics including goodput, PRR, and energy consumption under constant and reactive jamming.
  • Correlated experimental measurements with analytical models for signal-to-interference-plus-noise ratio (SINR) analysis.

Main Results:

  • Constant and reactive jamming severely impact WSN performance metrics and RSS variance.
  • With one interferer and SINR > 4.5 dB, PRR is ~0.99 and goodput is 3.05 Kbps, but performance degrades with more interferers.
  • Reactive jamming strategies demonstrate superior energy efficiency compared to constant jamming.

Conclusions:

  • The proposed testbed provides valuable insights into jamming attack effects on WSNs in real-world smart environments.
  • Understanding jamming impacts is critical for enhancing the security and reliability of smart environment platforms.
  • The study quantifies performance degradation and energy implications, aiding in risk assessment and mitigation strategies.