Year: 2025
Type: article
Abstract: Time-Sensitive Networking (TSN) has emerged as a transformative technology in industrial automation, offering deterministic communication and precise timing capabilities. The implementation challenges encountered in TSN deployments span multiple domains, from synchronization accuracy to microburst management and vendor interoperability. Advanced solutions incorporating software-defined networking principles, dynamic adaptation mechanisms, and proactive monitoring strategies have substantially improved network performance and reliability. Through hierarchical synchronization architectures, sophisticated traffic shaping algorithms, and comprehensive cross-domain management systems, TSN implementations achieve microsecond-level precision while maintaining deterministic guarantees across diverse industrial applications. The integration of machine learning-based predictive maintenance and environmental monitoring capabilities further enhances network stability and operational efficiency. These advancements enable TSN to meet the stringent timing requirements of modern industrial automation systems while providing flexible, scalable solutions for evolving network demands.
Author: Vinaya Surya
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410914743