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Related Concept Videos

Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

115
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
115
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

102
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
102

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Related Experiment Video

Updated: Jul 18, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Application-Aware Scheduling for IEEE 802.15.4e Time-Slotted Channel Hopping Using Software-Defined Wireless Sensor

Tarek Sayjari1, Regina Melo Silveira1, Cintia Borges Margi1

  • 1Escola Politécnica, Universidade de São Paulo, São Paulo 05508010, Brazil.

Sensors (Basel, Switzerland)
|August 26, 2023
PubMed
Summary

The application-aware (AA) scheduling approach enhances software-defined wireless sensor networks (SDWSNs) by isolating traffic for better quality of service (QoS). This method improves network efficiency and scalability without extra hardware.

Keywords:
application traffic isolationnetwork slicingquality of servicesoftware-defined wireless sensor networkstime-slotted channel hopping

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Area of Science:

  • Computer Science
  • Networking
  • Wireless Sensor Networks

Background:

  • Software-defined wireless sensor networks (SDWSNs) offer enhanced flexibility and programmability.
  • IEEE 802.15.4e time-slotted channel hopping (TSCH) is used with SDWSNs to improve network efficiency via slicing.
  • Scalable quality of service (QoS) provisioning in SDWSNs remains a challenge.

Purpose of the Study:

  • To introduce a novel application-aware (AA) scheduling approach for SDWSNs.
  • To address the challenge of maintaining QoS in scalable SDWSNs.
  • To enable network scalability using shared timeslots without additional hardware.

Main Methods:

  • The proposed application-aware (AA) scheduling approach isolates different traffic types and dynamically adapts to QoS requirements.
  • The AA approach was evaluated using the IT-SDN framework.
  • Performance was assessed by varying the number of nodes up to 225 and considering up to four applications with diverse QoS needs (delivery rate and delay).

Main Results:

  • The AA approach significantly improved delivery rate by up to 28% and reduced delay by up to 57% compared to the application traffic isolation (ATI) approach.
  • The AA approach successfully met a 92% delivery rate requirement for up to 225 nodes.
  • A 900 ms delay requirement was met for up to 144 nodes, even with four concurrent applications.

Conclusions:

  • The application-aware (AA) scheduling approach is the first to support network scalability using shared timeslots while maintaining application QoS levels.
  • AA scheduling effectively isolates traffic and adapts to dynamic QoS needs, outperforming existing methods.
  • This approach offers a viable solution for scalable and efficient SDWSN management with guaranteed QoS.