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Related Concept Videos

Linear time-invariant Systems01:23

Linear time-invariant Systems

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A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
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State Space Representation01:27

State Space Representation

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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
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Updated: Oct 31, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks.

Jose Vera-Pérez1, Javier Silvestre-Blanes2, Víctor Sempere-Payá3

  • 1Instituto Tecnológico de Informática, 46022 Valencia, Spain.

Sensors (Basel, Switzerland)
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an analytical model for Wireless Sensor Networks (WSNs) using Time Slotted Channel Hopping (TSCH) and Routing Protocol for Low-Power and Lossy Networks (RPL). The model analyzes deployment and synchronization, offering insights for robust Industrial Internet of Things (IIoT) networks.

Keywords:
RPLTSCHWSNindustrial internet of thingssynchronization

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Area of Science:

  • Industrial Internet of Things (IIoT)
  • Industry 4.0
  • Wireless Sensor Networks (WSNs)

Background:

  • WSNs are crucial for Industry 4.0, enabling data sensing and scalability.
  • IEEE 802.15.4e with TSCH and RPL offers robust industrial networks.
  • Current TSCH/RPL deployments face challenges in node synchronization and network deployment time.

Purpose of the Study:

  • To propose an analytical model for WSNs utilizing TSCH and RPL.
  • To characterize network behavior during deployment, synchronization, and RPL connection phases.
  • To provide a tool for parameterizing TSCH/RPL WSN configurations.

Main Methods:

  • Development of an analytical model.
  • Network simulation for validation.
  • Real-world testing for model verification.

Main Results:

  • The proposed analytical model accurately characterizes TSCH/RPL WSN behavior.
  • Validation through simulation and real tests confirms model efficacy.
  • The model allows for the optimization of WSN configurations for industrial applications.

Conclusions:

  • The analytical model effectively addresses deployment and synchronization challenges in TSCH/RPL WSNs.
  • This research facilitates the efficient deployment of reliable WSNs for Industry 4.0.
  • The findings support the digitalization of industrial processes through enhanced WSN performance.