Abstract
With the tremendous growth of industries, 5G will prove to be a game changer. 5G network is all about its high speed connectivity, low latency, and good coverage supporting transportation infrastructure. Considering the performance and reliability of devices, the 5G network has proved to be a boon to the IoT market. The 5G network acts as a predominant to IoT due to its need for a turbo network with elevated capacity that can benefit connectivity as the 5G spectrum expands the frequencies on which digital cellular technologies transfer data. The IoT turns out to rise from the need to automate, investigate, and cope with all the appliances and sensors. The chapter focuses on the integration of different technologies from solving complex configurations to handling network traffic. Data mining is considered to be a built-in mechanism in 5G IoT making it simple in decision-making and solving challenges, whereas information extraction is performed by ML and AI. The chapter also explores big data analytics, which are considered to be a key in mobile networks. In a nutshell, the integration of technologies in 5G has resulted in increased efficiency, reduced decision time, and strong real-time analytics.
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Aggarwal, P.K., Jain, P., Mehta, J., Garg, R., Makar, K., Chaudhary, P. (2021). Machine Learning, Data Mining, and Big Data Analytics for 5G-Enabled IoT. In: Tanwar, S. (eds) Blockchain for 5G-Enabled IoT. Springer, Cham. https://doi.org/10.1007/978-3-030-67490-8_14
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