2026· IEEE Open Journal of the Computer Society· Vol 7, pp. 1364-1376· 0 citations· 23 references
Computer Science
TL;DR
This work thoroughly investigates an alternative option, less covered in the existing literature, based on the IETF 6TiSCH architecture and short-range communications, and proposes Highly-Reliable Real-Time Scheduling for 6TiSCH (6HRRT), a novel algorithm designed for mobile IIoT scenarios.
Abstract
The landscape of industrial communication systems is rapidly evolving, driven by the proliferation of Industrial IoT (IIoT) devices, increased automation, and the convergence of operational and information technologies. This evolution introduces greater complexity, with diverse requirements in latency, reliability, scalability, and mobility, calling for advanced planning and decision-support tools. In this work, we address the needs of IIoT applications requiring ultra-reliable low-latency communication and mobility support. Instead of relying on 5G ultra-reliable low-latency communications (URLLC), we thoroughly investigate an alternative option, less covered in the existing literature, based on the IETF 6TiSCH architecture and short-range communications. In particular, we propose Highly-Reliable Real-Time Scheduling for 6TiSCH (6HRRT), a novel algorithm designed for mobile IIoT scenarios. By combining intelligent resource allocation with optimized redundancy strategies, 6HRRT achieves reliability up to 99.999% and latencies of tens of milliseconds for applications with heterogeneous requirements. Simulation results show that 6HRRT consistently outperforms state-of-the-art 6TiSCH solutions, particularly under mixed workloads and stringent requirements, ensuring robust real-time performance in IIoT environments.
The results of the analysis indicate that 6G can contribute to a substantial improvement of IoT performance in smart cities, healthcare, industrial automation and control applications (manufacturing science), autonomous transportation and precision agriculture.
Md Asaduzaman, Ferdous Hossain, T. Geok· International Journal of Ele...· 0 citations
A multidimensional performance evaluation demonstrates the effectiveness of the framework for intelligent resource management across diverse 6G‑IoT conditions, and highlights the potential of the proposed simulator as a flexible and extendable platform for advancing adaptive solutions in 6G‑enabled IoT systems.
Muntadher Abbas Rahif Alabedi, Mina Malekzadeh· Scientific Reports· 0 citations
The rapid growth of Internet-of-Things (IoT) devices has increased the need for computing support close to end users, particularly for applications that cannot tolerate long processing delays or excessive energy consumption. Fog computing has emerged as a practical extension of the cloud to address these requirements,...
Ashish Bagla, Deepak Dagar, Pratik Srivastava· International Journal For Mu...· 0 citations
The study concludes that although 5G provides the technological foundation for next-generation digital transformation, continued research is required to improve network security, intelligent resource allocation, sustainable deployment, and integration with future sixth-generation (6G) communication systems.
E. M. Tanuja, Basavaraj S. Pol· International Journal of Res...· 0 citations
The paper provides a holistic insight into 5G-powered industrial automation through an extensive literature review, comparative analysis, and well-calculated approach to future research by offering strategic solutions to the research issue.
Waraporn Srisuk, Laura Anuwat· International Journal of Mod...· 0 citations
The proposed IoTScal-CoM middleware employs only native oneM2M capabilities such as RTT, packet loss rate, CPU, and memory usage in order to guarantee the SLA conformity without changing the main standard specifications.
S. Abourriche, A. Zyane, A. Ghammaz· EPJ Web of Conferences· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.