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5G support for Industrial IoT Applications - Challenges, Solutions, and Research gaps
Pal Varga1, Jozsef Peto1, Attila Franko1
1Department of Telecommunications and Media Informatics; Budapest University of Technology and Economics, Magyar Tudosok krt. Budapest, Hungary.
Sensors (Basel, Switzerland)
|February 9, 2020
Summary
5G mobile technology offers high reliability and low latency, making it ideal for Industrial Internet of Things (IIoT) applications. This paper identifies research challenges and solutions for 5G-enabled IIoT, focusing on key areas like security and AI.
Area of Science:
- Industrial Internet of Things (IIoT)
- 5G Mobile Technology
- Network Communication
Background:
- Industrial IoT demands high reliability, low latency, flexibility, and security.
- 5G technology inherently provides these critical communication attributes.
- This synergy positions 5G as a key enabler for advanced IIoT deployments.
Purpose of the Study:
- To identify current research challenges in 5G-enabled IIoT.
- To explore existing solutions addressing these challenges.
- To compare research gaps and provide lessons learned for future development.
Main Methods:
- Surveying the state-of-the-art in 5G and IIoT research.
- Comparing identified challenges and solutions across various domains.
- Analyzing specific areas: mobile edge cloud, NFV, security, AI, and private networks.
Main Results:
- Identified key research areas including mobile edge cloud, network function virtualization, and security.
- Highlighted the role of AI and blockchain in enhancing 5G for IIoT.
- Compared solutions and pinpointed research gaps in private campus networks.
Conclusions:
- 5G technology is crucial for meeting IIoT communication requirements.
- Further research is needed in areas like security, AI integration, and edge computing for robust 5G-IIoT systems.
- Comparative analysis reveals specific gaps for future investigation.
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