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Picosecond-Grade Clocking for Smart Factories: Interferometric Sensing Meets Adaptive Consensus

Authors
  • Mohammed Faizan

    Author

Keywords:
Precision Time Protocol, White Rabbit, Time Synchronization, Adaptive Consensus, Distributed Control, Smart Manufacturing, Fault Tolerance, Interferometry
Abstract

Deterministic production lines, TSN backbones, and coordinated motion systems demand clock alignment beyond conventional PTP; this paper introduces a hybrid scheme that fuses interferometry-based timing extraction with an adaptive consensus protocol to deliver sub-100 ps synchronization across distributed controllers. A mathematically grounded design establishes stability margins and optimal convergence rates, while the implementation spans simulation, SDR-based emulation, and FPGA-based hardware testbeds (Raspberry Pi 4 with Xilinx Artix-7 timestamping modules) to validate precision, speed, and resilience under loss, interference, and adversarial behavior. Experiments achieve 13.5±2.1 ps time error and 1.5× faster convergence versus White Rabbit PTP (2.3× versus standard PTP), with reduced message overhead and graceful degradation up to one-third faulty nodes, supporting large-scale factory networks. For automation engineers, the takeaway is a deployable timing layer that sharpens TSN schedules, tightens robot and vision triggers, and scales to thousand-node plants using commodity hardware.

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Published
2026-09-25
Section
Articles
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Copyright (c) 2026 International Journal of Intelligent Systems and Data Science

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
F. Mohammed, “Picosecond-Grade Clocking for Smart Factories: Interferometric Sensing Meets Adaptive Consensus”, Int. J. Intell. Syst. Data Sci., vol. 1, no. 5, Sep. 2026, doi: 10.67231/rfz73n64.