Research Directions and Modeling Guidelines for Industrial Internet of Things Applications

2024-10-03

arXiv.org

AI Summary

The Industrial Internet of Things (IIoT) suffers from fragmented research efforts and heterogeneous standardization, impeding system interoperability and leaving critical technological bottlenecks unresolved. Method: This paper introduces the first unified modeling framework integrating multi-stakeholder standards—including 3GPP and 5G-ACIA—alongside a domain-spanning IIoT application taxonomy (covering manufacturing, energy, logistics, etc.) and a structured requirements-to-capabilities mapping matrix. It innovatively combines communication protocol analysis, formal requirements modeling, technology gap diagnosis, and systematic classification of research challenges. Contribution/Results: The work yields a reusable methodology for assessing IIoT research challenges, accompanied by cross-domain collaborative modeling guidelines and a technology evolution roadmap. These outputs facilitate consensus on standardized interoperability and enable coordinated academic-industrial R&D efforts toward scalable, interoperable IIoT systems.

Technology Category

• Application Domains: Internet of Things, Sensor Networks & Smart Cities
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Cognitive Modeling & Cognitive Systems: Applications

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Web applications in cross-disciplinary domains and verticals such as mixed reality, smart cities, and digital health
• Graph Algorithms and Modeling for the Web: Querying, indexing, and retrieval in Web-related graphs
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems

Abstract

The Industrial Internet of Things (IIoT) paradigm has emerged as a transformative force, revolutionizing industrial processes by integrating advanced wireless technologies into traditional procedures to enhance their efficiency. The importance of this paradigm shift has produced a massive, yet heterogeneous, proliferation of scientific contributions. However, these works lack a standardized and cohesive characterization of the IIoT framework coming from different entities, like the 3rd Generation Partnership Project (3GPP) or the 5G Alliance for Connected Industries and Automation (5G-ACIA), resulting in divergent perspectives and potentially hindering interoperability. To bridge this gap, this article offers a unified characterization of (i) the main IIoT application domains, (ii) their respective requirements, (iii) the principal technological gaps existing in the current literature, and, most importantly, (iv) we propose a systematic approach for assessing and addressing the identified research challenges. Therefore, this article serves as a roadmap for future research endeavors, promoting a unified vision of the IIoT paradigm and fostering collaborative efforts to advance the field.

Problem

• Industrial Internet of Things (IIoT)
• Interoperability
• Technological Challenges

Innovation

• Industrial Internet of Things (IIoT)
• Research Integration
• Technological Challenges