Industrial Internet of Things (IIoT) ecosystems. This paper systematically reviews network services based on business requirements, introduces an innovative concept called x-dimensional function chain (xDFC, dimensions such as functionality, performance, and resources, etc), and focuses on obtaining efficient bridge matching between diverse time-sensitive businesses and proper xDFCs in IIoT upon considering quality of service and resource costs. To facilitate this, we propose a synergistic strategy collectively known as

$\text{S}^{2}$

Croft that combines chemical reactionoptimization (CRO) and fuzzy-set theory (FT). In particular, we employ CRO to achieve the optimal matching, incorporating a Bayesian model to capture the correlations between various attributes and enhance the interpretability of our design. More importantly, FT is applied to determine the upper and lower bounds of the solution space, while accelerating the convergence of large-scale problems. Comprehensive simulations demonstrate that compared to state-of-the-art methods,

$\text{S}^{2}$

Croft achieves 74.72% time reduction over large-scale scenarios, while ensuring the same level of matching stability.">

Intent-Driven Cognitive xDFC Bridge in Endogenous Intelligent IIoT: A Systematic Review and S$^{2}$Croft Architecture With Bayesian-CRO-Fuzzy Synergy (original) (raw)

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2026 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.