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Heuristic Routing Algorithms for Time-Sensitive Networks in Smart Factories.

Yue Li1,2,3, Zhenyu Yin1,2,3, Yue Ma1,2,3

  • 1School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China.

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Summary
This summary is machine-generated.

This study introduces new routing algorithms, GATTRP and AACO, for smart factories using time-sensitive networks (TSNs). These algorithms significantly reduce network delay, improving industrial internet communication.

Keywords:
heuristic algorithmindustrial internetroutingsmart factorytime-sensitive network

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Area of Science:

  • Industrial Internet
  • Smart Manufacturing
  • Network Engineering

Background:

  • Smart factories, a key concept in Industry 4.0, are increasingly adopted in traditional manufacturing.
  • Time-sensitive networks (TSNs) are crucial for enabling communication within smart factory architectures.
  • Existing routing algorithms are inadequate for TSNs, leading to congestion and latency.

Purpose of the Study:

  • To address the limitations of traditional routing algorithms in smart factory TSNs.
  • To propose novel heuristic optimization algorithms for efficient TSN flow routing.
  • To enhance communication reliability and reduce latency in industrial networks.

Main Methods:

  • Classification of time-sensitive network (TSN) flows within smart factory environments.
  • Formulation of the routing problem as two distinct graphical problems.
  • Development and application of two heuristic optimization algorithms: GATTRP and AACO.

Main Results:

  • The proposed GATTRP and AACO algorithms demonstrated superior routing arrangements for diverse TSN flows.
  • Significant reductions in overall network delay were achieved, up to 74% with GATTRP and 41% with AACO.
  • The algorithms exhibited promising operational performance and effectiveness in managing network traffic.

Conclusions:

  • The developed heuristic algorithms effectively optimize routing for time-sensitive networks in smart factories.
  • These advancements contribute to more efficient and reliable communication infrastructure for Industry 4.0.
  • The findings offer practical solutions for mitigating latency and congestion in industrial networks.