Cluster-Based Fluctuation Counterbalance Enabled Deterministic Resource Scheduling for Industrial Passive Optical Networks

Driven by the diverse requirements of industrial internet of things (IIoT) services, passive optical network (PON) has emerged as a promising technology for Industrial Internet, owing to its advantages in multi-service support, immunity to electromagnetic interference (EMI) and cost-effective deployment. However, due to the highly dynamic nature of industrial services and their diverse demands, it poses great challenges to guarantee the deterministic latency demand of time sensitive services while avoiding inevitable conflicts among various services. To address this problem, we propose a flexible-grouping based collaborative dynamic bandwidth allocation (FGC-DBA) scheme. Specifically, FGC-DBA characterizes a cluster-based peak-valley compensation algorithm (CPVC) to achieve deterministic latency of highly dynamic services by fluctuation counterbalance. It aims to find a group of services with complementary demand, thereby dynamic nature only exists within intra-group rather than inter-group and the latency fluctuation is fixed as the size of each group. Furthermore, we present a fine-coarse collaborative transmission window allocation strategy (FCCTA) to accurately allocate transmission window for various services based on the CPVC algorithm. It aims to reduce the conflicts and meet the deterministic latency demand simultaneously when considering the various services’ demand. In the experiment, we demonstrate that compared to existing schemes, FGC-DBA scheme reduces jitter by at least 75% for cyclic time-sensitive (CTS) services and brings queuing time close to zero, while reducing jitter by up to 50% for non-cyclic time-sensitive (TS) services. Notably, all of these improvements are achieved with only a 5% increase in running time.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-08-29
DOI
https://doi.org/10.1109/jiot.2025.3604023
Primary Topic
Advanced Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Cluster-Based Fluctuation Counterbalance Enabled Deterministic Resource Scheduling for Industrial Passive Optical Networks

Zexi Zhou, Weijing Sang, Yuefeng Ji, Rentao Gu et al.
IEEE Internet of Things Journal
Advanced Optical Network Technologies
article

Cluster-Based Fluctuation Counterbalance Enabled Deterministic Resource Scheduling for Industrial Passive Optical Networks

Zexi Zhou, Weijing Sang, Yuefeng Ji, Rentao Gu, Hui Li
article en

Abstract

Driven by the diverse requirements of industrial internet of things (IIoT) services, passive optical network (PON) has emerged as a promising technology for Industrial Internet, owing to its advantages in multi-service support, immunity to electromagnetic interference (EMI) and cost-effective deployment. However, due to the highly dynamic nature of industrial services and their diverse demands, it poses great challenges to guarantee the deterministic latency demand of time sensitive services while avoiding inevitable conflicts among various services. To address this problem, we propose a flexible-grouping based collaborative dynamic bandwidth allocation (FGC-DBA) scheme. Specifically, FGC-DBA characterizes a cluster-based peak-valley compensation algorithm (CPVC) to achieve deterministic latency of highly dynamic services by fluctuation counterbalance. It aims to find a group of services with complementary demand, thereby dynamic nature only exists within intra-group rather than inter-group and the latency fluctuation is fixed as the size of each group. Furthermore, we present a fine-coarse collaborative transmission window allocation strategy (FCCTA) to accurately allocate transmission window for various services based on the CPVC algorithm. It aims to reduce the conflicts and meet the deterministic latency demand simultaneously when considering the various services’ demand. In the experiment, we demonstrate that compared to existing schemes, FGC-DBA scheme reduces jitter by at least 75% for cyclic time-sensitive (CTS) services and brings queuing time close to zero, while reducing jitter by up to 50% for non-cyclic time-sensitive (TS) services. Notably, all of these improvements are achieved with only a 5% increase in running time.

IEEE Internet of Things JournalVol. 12(22)
Beijing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China
Decent work and economic growth
Openalex Percentile: Top 78%
Advanced Optical Network Technologies
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