Varga Pal, Peto Jozsef, Franko Attila, Balla David, Haja David, Janky Ferenc, Soos Gabor, Ficzere Daniel, Maliosz Markosz, Toka Laszlo
Department of Telecommunications and Media Informatics; Budapest University of Technology and Economics, Magyar Tudosok krt. Budapest, Hungary.
Sensors (Basel). 2020 Feb 4;20(3):828. doi: 10.3390/s20030828.
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.
工业物联网有特殊的通信要求,包括高可靠性、低延迟、灵活性和安全性。5G移动技术本能地满足了这些要求,使其成为支持工业物联网(IIoT)场景的成功候选者。本文的目的是基于这两个领域的初始要求和前景,确定与支持5G的工业物联网相关的当前研究挑战和解决方案。本文的方法遵循以下步骤:调研最新技术水平,比较结果以识别进一步的挑战,并得出每个研究领域的经验教训。这些领域包括工业物联网应用及其要求;移动边缘云;后端性能调优;网络功能虚拟化;以及安全性、工业物联网的区块链、5G的人工智能支持和专用园区网络。除了调研当前的挑战和解决方案外,本文旨在对这些领域中的每一个(与支持5G的工业物联网相关)进行有意义的比较,以得出当前研究差距的结论。