5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps
| Autor: | David Balla, Ferenc Nandor Janky, Pal Varga, Gabor Soos, Attila Franko, Laszlo Toka, Jozsef Peto, Markosz Maliosz, Daniel Ficzere, David Haja |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
blockchain
IoT Relation (database) Industry 4.0 Computer science Cloud computing 02 engineering and technology computer.software_genre lcsh:Chemical technology Biochemistry Article Analytical Chemistry Domain (software engineering) 0202 electrical engineering electronic engineering information engineering Mobile technology lcsh:TP1-1185 survey Electrical and Electronic Engineering Instrumentation Flexibility (engineering) business.industry 020208 electrical & electronic engineering Performance tuning ultra-reliable low latency communications 020206 networking & telecommunications Virtualization artificial intelligence Data science virtualization Atomic and Molecular Physics and Optics mobile edge cloud private campus network business Internet of Things computer 5G |
| Zdroj: | Sensors (Basel, Switzerland) Sensors, Vol 20, Iss 3, p 828 (2020) Sensors Volume 20 Issue 3 |
| ISSN: | 1424-8220 |
| Popis: | Industrial IoT has special communication requirements, including high reliability, low latency, flexibility, and security. These are instinctively provided by the 5G mobile technology, making it a successful candidate for supporting Industrial IoT (IIoT) scenarios. The aim of this paper is to identify current research challenges and solutions in relation to 5G-enabled Industrial IoT, based on the initial requirements and promises of both domains. The methodology of the paper follows the steps of surveying state-of-the art, comparing results to identify further challenges, and drawing conclusions as lessons learned for each research domain. These areas include IIoT applications and their requirements mobile edge cloud back-end performance tuning network function virtualization and security, blockchains for IIoT, Artificial Intelligence support for 5G, and private campus networks. Beside surveying the current challenges and solutions, the paper aims to provide meaningful comparisons for each of these areas (in relation to 5G-enabled IIoT) to draw conclusions on current research gaps. |
| Databáze: | OpenAIRE |
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