Estimation of the Maximum Consumers Number in a TSN Domain with Synchronization Quality Parameters Set

Relevance. The Industrial Internet of Things, which has been rapidly developing in recent years, is one of the technologies whose operation requires real-time data exchange. This challenge can be optimally addressed by using time-sensitive networking technology, which is an extension of classic Ethernet designed to ensure higher-quality traffic transmission where network delays are unacceptable. Transmission quality is determined by the accuracy of network devices time synchronization, which in turn depends on their number in domain. Therefore, studying the impact of the number of consumers on synchronization accuracy is a pressing scientific and practical challenge.

Objective. To examine the dependence of synchronization quality parameters on the number of its consumers in a domain.

Methods. The dependence of time scale synchronization quality on the number of its consumers in a domain is assessed using the results of time synchronization processes simulation modeling within AnyLogic environment.

Result. The study demonstrates that an increase in the number of requests initially increases the synchronization cycle duration significantly. And its further increase in the load leads to the processing time distribution function nature change, till the entire range of values become distributed uniformly.

Novelty. The simulation models of timescale convergence processes developed makes able to optimize the ratio between the numbers of synchronization consumers in a domain to its quality parameters.

Practical Relevance. The models described make able to estimate the maximum number of consumers in a domain that maintains a given synchronization quality, as well as the time required to adjust the local device clock.

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