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Neural Computing and Applications

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11-05-2020 | S.I. : Applying Artificial Intelligence to the Internet of Things

Machine learning and data analytics for the IoT

Authors: Erwin Adi, Adnan Anwar, Zubair Baig, Sherali Zeadally

Published in: Neural Computing and Applications | Issue 20/2020

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Abstract

The Internet of Things (IoT) applications have grown in exorbitant numbers, generating a large amount of data required for intelligent data processing. However, the varying IoT infrastructures (i.e., cloud, edge, fog) and the limitations of the IoT application layer protocols in transmitting/receiving messages become the barriers in creating intelligent IoT applications. These barriers prevent current intelligent IoT applications to adaptively learn from other IoT applications. In this paper, we critically review how IoT-generated data are processed for machine learning analysis and highlight the current challenges in furthering intelligent solutions in the IoT environment. Furthermore, we propose a framework to enable IoT applications to adaptively learn from other IoT applications and present a case study in how the framework can be applied to the real studies in the literature. Finally, we discuss the key factors that have an impact on future intelligent applications for the IoT.

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Title: Machine learning and data analytics for the IoT
Authors: Erwin Adi
Adnan Anwar
Zubair Baig
Sherali Zeadally
Publication date: 11-05-2020
Publisher: Springer London
Published in: Neural Computing and Applications / Issue 20/2020
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-020-04874-y

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