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

作者
Weijing Sang,Rentao Gu,Zexi Zhou,Hui Li,Yuefeng Ji
出处
期刊:IEEE Internet of Things Journal [Institute of Electrical and Electronics Engineers]
卷期号:12 (22): 47869-47884
标识
DOI:10.1109/jiot.2025.3604023
摘要

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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