Guest Editorial: Blockchain and AI Enabled 5G Mobile Edge Computing

Chang, Elizabeth, Chan, Kit Yan, Clark, Ponnie, Potdar, Vidy · IEEE Transactions on Industrial Informatics · 2020

Big data is generally captured by sensor networks in various industrial and manufacturing sectors; this big data is transmitted by mobile devices and Internet of Things (IoT) devices through the 5G mobile networks. 5G mobile edge computing is generally integrated with artificial intelligence (AI) in order to perform data mining for big data. 5G mobile edge computing attempts to help the industries to increase product quality, improve robustness and reliability of manufacturing processes, enhance manufacturing productivity and effectiveness, and reduce production costs. Recently, cryptocurrencies such as Bitcoin and Litecoins are used in virtual transactions by many financial sectors. Blockchain is integrated with the cryptocurrencies. Blockchain attempts to ensure security, trust and privacy of the virtual transactions, while centralized authorities or management are not necessary to be involved. Blockchain connects all transaction parties in order to monitor and verify each transaction. It reduces transaction risks and financial fraud without the involvement of centralized authorities or management. While blockchain is implemented in mobile devices and IoT devices, data trust and honesty can be guaranteed in the 5Gmobile networks. When the captured data ismore reliable, accurate datamining and analysis can be performed by the 5Gmobile edge computing. This special section focus on 5G mobile edge computing methods in order to perform better data analysis, simulations, and predictions for industrial applications when blockchain is integrated in the 5G mobile networks. We received 30 high quality submissions for this special section on "Blockchain and AI Enabled 5G Mobile Edge Computing." After the review and revision processes, six articles were selected to be published in this valuable document. Those articles are briefly summarized.

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