Resilient Time-Sensitive Networking for Industrial IoT: Configuration and Fault-Tolerance Evaluation

2025-07-15

AI Summary

In industrial IoT, Time-Sensitive Networking (TSN) struggles to simultaneously guarantee low latency, low jitter, and high reliability under realistic link and node failures. Method: This paper introduces IN2C, a modular OMNeT++/INET-based simulation framework that supports XML-driven fault injection for links and nodes, and fully implements IEEE 802.1AS time synchronization, Credit-Based Shaping (CBS), per-stream filtering, and Frame Replication and Elimination for Reliability (FRER). Contribution/Results: Experimental evaluation demonstrates that FRER achieves zero packet loss and sub-millisecond failover recovery; however, it incurs a 2–3× increase in link utilization. IN2C provides a reproducible, scalable evaluation methodology and quantitative optimization insights for TSN fault tolerance design and redundancy configuration—particularly critical in bandwidth-constrained industrial scenarios.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Application Domains: Internet of Things, Sensor Networks & Smart Cities
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Security and Privacy: Large-scale security measurements

Abstract

Time-Sensitive Networking (TSN) is increasingly adopted in industrial systems to meet strict latency, jitter, and reliability requirements. However, evaluating TSN's fault tolerance under realistic failure conditions remains challenging. This paper presents IN2C, a modular OMNeT++/INET-based simulation framework that models two synchronized production cells connected to centralized infrastructure. IN2C integrates core TSN features, including time synchronization, traffic shaping, per-stream filtering, and Frame Replication and Elimination for Redundancy (FRER), alongside XML-driven fault injection for link and node failures. Four fault scenarios are evaluated to compare TSN performance with and without redundancy. Results show that FRER eliminates packet loss and achieves submillisecond recovery, though with 2-3x higher link utilization. These findings offer practical guidance for deploying TSN in bandwidth-constrained industrial environments.

Problem

• Evaluating TSN fault tolerance under realistic failure conditions
• Modeling synchronized production cells with centralized infrastructure
• Assessing TSN performance with and without redundancy mechanisms

Innovation

• Modular OMNeT++/INET simulation framework
• Integrates TSN features and FRER
• XML-driven fault injection for failures