An Intelligent Deterministic Scheduling Method for Ultra-Low Latency Communication in Edge Enabled Industrial Internet of Things

TL;DR

This paper proposes a deterministic scheduling method combining non-collision theory and dynamic queue scheduling to support ultra-low latency and efficient bandwidth use in edge-enabled IIoT systems.

Contribution

It introduces a systematic analysis of flow combinability and presents novel scheduling algorithms for low latency and bandwidth efficiency in IIoT.

Findings

Supports deterministic ultra-low latency communication

Guarantees efficient bandwidth utilization

Effective for time-sensitive and best-effort flows

Abstract

Edge enabled Industrial Internet of Things (IIoT) platform is of great significance to accelerate the development of smart industry. However, with the dramatic increase in real-time IIoT applications, it is a great challenge to support fast response time, low latency, and efficient bandwidth utilization. To address this issue, Time Sensitive Network (TSN) is recently researched to realize low latency communication via deterministic scheduling. To the best of our knowledge, the combinability of multiple flows, which can significantly affect the scheduling performance, has never been systematically analyzed before. In this article, we first analyze the combinability problem. Then a non-collision theory based deterministic scheduling (NDS) method is proposed to achieve ultra-low latency communication for the time-sensitive flows. Moreover, to improve bandwidth utilization, a dynamic queue scheduling (DQS) method is presented for the best-effort flows. Experiment results demonstrate that NDS/DQS can well support deterministic ultra-low latency services and guarantee efficient bandwidth utilization.