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A Polling-Based Transmission Scheme Using a Network Traffic Uniformity Metric for Industrial IoT Applications.

Yuichi Igarashi1, Ryo Nakano2, Naoki Wakamiya3

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Summary

This study introduces a new polling-based transmission scheme for the Industrial Internet of Things (IIoT) to improve wireless communication. The method uses a Genetic Algorithm to uniformly schedule data collection, enhancing reliability for industrial control systems.

Keywords:
polling-based communicationschedulingthe industrial IoT

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Area of Science:

  • Industrial Internet of Things (IIoT)
  • Wireless Communication Protocols
  • Network Traffic Management

Background:

  • Industrial Internet of Things (IIoT) applications require precise feedback for device control, traditionally relying on polling-based communication.
  • Existing industrial wireless protocols like ISA100.11a and WirelessHART struggle to balance high-ratio scheduled data collection with low-latency on-demand communication.

Purpose of the Study:

  • To propose a novel polling-based transmission scheme for IIoT applications.
  • To address the limitations of current industrial wireless protocols in handling both periodic and on-demand data.
  • To enhance the reliability and efficiency of IIoT communication.

Main Methods:

  • A polling-based transmission scheme utilizing a network traffic uniformity metric.
  • A Genetic Algorithm to determine an optimal transmission schedule controlled by a central node.
  • Uniform assignment of communication tasks for both periodic and unpredictable on-demand data collection.

Main Results:

  • Simulation results demonstrate uniformly generated network traffic.
  • The proposed scheme achieves a high success ratio for periodic data collection from nodes.
  • Average success probability for periodical data collection reached 97.4%, with a minimum of 95.2%.

Conclusions:

  • The proposed Genetic Algorithm-based scheduling effectively uniformizes network traffic in IIoT.
  • The scheme successfully improves the success ratio of periodic data collection in industrial wireless networks.
  • This approach offers a viable solution for the challenges of integrating scheduled and on-demand communications in IIoT.