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

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

365
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
365
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

903
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
903
Transformers in Distribution System01:27

Transformers in Distribution System

407
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
407
Ranks01:02

Ranks

332
Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
332
Network Function of a Circuit01:25

Network Function of a Circuit

466
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
466
Distributed Loads01:19

Distributed Loads

776
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
776

You might also read

Related Articles

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

Sort by
Same author

Field-Programmable Gate Array (FPGA)-Based Lock-In Amplifier System with Signal Enhancement: A Comprehensive Review on the Design for Advanced Measurement Applications.

Sensors (Basel, Switzerland)·2025
Same author

Unlocking Security for Comprehensive Electroencephalogram-Based User Authentication Systems.

Sensors (Basel, Switzerland)·2025
Same author

Context-Aware Statistical Dead Reckoning for Localization in IoT Scenarios.

Sensors (Basel, Switzerland)·2023
Same author

A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data.

Sensors (Basel, Switzerland)·2022
Same author

Transport and Application Layer DDoS Attacks Detection to IoT Devices by Using Machine Learning and Deep Learning Models.

Sensors (Basel, Switzerland)·2022
Same author

A Crest Factor Reduction Technique for LTE Signals with Target Relaxation in Power Amplifier Linearization.

Sensors (Basel, Switzerland)·2022

Related Experiment Video

Updated: Nov 15, 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

936

Distributed Channel Ranking Scheduling Function for Dense Industrial 6TiSCH Networks.

Ismael Amezcua Valdovinos1, Patricia Elizabeth Figueroa Millán2, Jesús Arturo Pérez-Díaz3

  • 1Facultad de Telemática, Universidad de Colima, PO 28040 Colima, Mexico.

Sensors (Basel, Switzerland)
|March 6, 2021
PubMed
Summary

The Channel Ranking Scheduling Function (CRSF) enhances Industrial Internet of Things (IIoT) reliability by optimizing wireless communication schedules. This distributed function improves packet delivery and reduces energy consumption in challenging industrial environments.

Keywords:
6TiSCHIEEE802.15.4e TSCHscheduling function

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.3K
Design and Use of Multiplexed Chemostat Arrays
19:40

Design and Use of Multiplexed Chemostat Arrays

Published on: February 23, 2013

23.7K

Related Experiment Videos

Last Updated: Nov 15, 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

936
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.3K
Design and Use of Multiplexed Chemostat Arrays
19:40

Design and Use of Multiplexed Chemostat Arrays

Published on: February 23, 2013

23.7K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Industrial Automation

Background:

  • The Industrial Internet of Things (IIoT) requires reliable wireless communication for Industry 4.0.
  • IEEE 802.15.4e Time-Slotted Channel Hopping (TSCH) provides reliability through scheduled communication.
  • Existing scheduling functions lack standardized methods for building robust schedules in dynamic industrial settings.

Purpose of the Study:

  • To propose a novel distributed Scheduling Function (SF) called Channel Ranking Scheduling Function (CRSF) for IIoT networks.
  • To enhance network reliability and determinism in industrial environments with interference.
  • To evaluate CRSF's performance against existing scheduling functions.

Main Methods:

  • Developed a distributed SF (CRSF) for IPv6 over IEEE 802.15.4e TSCH networks.
  • Implemented a buffer-based bandwidth allocation mechanism using Kalman filtering.
  • Integrated channel quality ranking using Exponential Weighted Moving Averages (EWMAs) based on RSSI, BN, and PDR.
  • Compared CRSF with Orchestra and Minimal Scheduling Function (MSF) in simulated industrial scenarios.

Main Results:

  • CRSF achieved high Packet Delivery Rate (PDR) and low Radio Duty Cycle (RDC) across various traffic patterns.
  • CRSF demonstrated earlier first packet arrival compared to Orchestra and MSF.
  • Increased end-to-end latency was observed with CRSF, balanced by improved reliability.
  • CRSF proved effective in industrial environments with high node density and interference.

Conclusions:

  • CRSF is a viable scheduling solution for large-scale IIoT networks facing interference.
  • The proposed Kalman filtering and channel ranking mechanisms effectively improve network performance.
  • CRSF offers a robust approach to managing wireless communication in demanding industrial applications.