In light of the evolving landscape of future converged networks, heightened demands for scalability and performance have become paramount, particularly in the industrial context where enhanced flexibility, adaptability, time synchronization and deterministic low latency are key features. Time-Sensitive Networking (TSN) has been introduced to provide converged networks with determinism. To mitigate the complexities associated with cabling requirements, Wireless Time-Sensitive Networking (WTSN) emerges as a more suited solution in industrial applications that need mobility. This study presents an application in smart manufacturing that incorporates WTSN technology. Specifically, it focuses on a scenario where an Unmanned Ground Vehicle (UGV), under the control of an edge controller connected through a wireless link, operates within a critical environment subject to constraints such as to avoid obstacles and to build a real-time map of the surrounding area. The mapping outcome performed by the edge controller demonstrates the effectiveness of the WTSN capabilities.

Resilient systems are crucial for modern interconnected applications, especially those with autonomous machine-to-machine communication. Standard network protocols can exhibit unacceptable recovery times for time-critical operations, and systems must withstand various disruptions beyond just connection failures.This paper addresses these vulnerabilities by proposing a robust communication architecture based on an adapted MQTT protocol employing duplicated packet transmission over parallel pathways. The approach, based on redundancy, employs a smart algorithm for selecting the best communication path to rely on. This strategy aims to ensure reliable data delivery and mitigate service interruptions, particularly for demanding industrial applications, while limiting resources and bandwidth consumption. The effectiveness of this architecture is validated through a real testbed implementation and online testing.

The demand for precise time synchronization is of great interest in contemporary networked systems, especially in the context of converged networks where seamless communication among devices, actuators, and sensors is imperative. This has led to the development and adoption of Time-Sensitive Networking (TSN) and Wireless TSN (WTSN) technologies, with a particular attention to the IEEE 802.1AS Generalized Precision Time Protocol (gPTP) standard. In this work, we explore the role of time synchronization in a wireless network scenario involving an Unmanned Ground Vehicle (UGV) that has to track a desired time dependent trajectory. The UGV receives trajectory waypoints from a secondary station, emphasizing the importance of precise timing in trajectory tracking. Utilizing the IEEE 802.1AS standard for wireless time synchronization, this study investigates the impact of clock synchronization errors and latency on trajectory tracking. Hence, it demonstrates the capability and benefits of IEEE 802.1AS in managing device clocks and facilitating time correction to ensure precise trajectory tracking despite synchronization errors and latency.

The extension of Time Sensitive Networking (TSN) to wireless domains is a key enabler for the realization of Industry 4.0 and 5.0 applications. Thanks to their characteristics in terms of latency and bandwidth, and the seamless integration with Ethernet TSN, 5G New Radio (NR) and 802.11 (WiFi) are the primary candidates for enabling wireless TSN applications. In the TSN context, precise time synchronization represents a funda-mental building block. In this paper, we focus on the assessment of the synchronization accuracy of IEEE 1588 (PTP) over 5G NR networks by considering different network configurations and traffic loads. The results provide preliminary insights into the performance of PTP over 5G NR and its suitability for TSN applications.

Critical infrastructure, utilities, and large enter-prises are increasingly complex. These sprawling systems, often geographically dispersed, rely on seamless coordination across vast networks. Typically, they use the internet and TCPIIP proto-cols for communication. However, ensuring system-level resilience requires exceptionally dependable network infrastructure. This paper proposes a solution built on a redundant version of the MQTT protocol, implemented directly at the network's endpoints. This approach ensures reliable communication even in the face of potential network issues. Additionally, the paper explores the potential for a future solution that analyzes multi-publisher/subscriber scenarios and, for this purpose, a prelimi-nary research on synchronizing communication among a larger number of devices within the network. The paper concludes by detailing the proposed solution, evaluating its effectiveness, and validating its practicality through experimentation.

The ever more used and widespread Time-Sensitive Networking (TSN) has changed real-time networks, enabling reliable communication for time-critical applications. At the same time Software-Defined Networking (SDN) has emerged as a solution to ensure proper quality of service for managing dynamic network configurations even in evolving topologies. This paper investigates the integration between TSN and SDN to enable dynamic network re-configuration and improve performance for time-critical applications. We present an experimental setup designed to evaluate this approach. The setup focuses on scenarios where an SDN controller can dynamically reroute critical data flows across different TSN network devices to avoid interference and maintain consistent Quality-of-Service (QoS).