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A Device Performance and Data Analytics Concept for Smartphones’ IoT Services and Machine-Type Communication in Cellular Networks

1
Department of Electrical & Electronics Engineering Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg 0524, South Africa
2
Department of Electrical & Mining Engineering, College of Science, Engineering and Technology (CSET) University of South Africa, Pretoria 0002, South Africa
3
College of Information Engineering, AI-Nahrain University, Baghdad 64074, Iraq
4
Department of Mathematics and Statistics, Faculty of Science, 3 Central Tehran Branch, Islamic Azad University, Tehran 00011, Iran
*
Author to whom correspondence should be addressed.
Symmetry 2019, 11(4), 593; https://doi.org/10.3390/sym11040593
Received: 20 February 2019 / Revised: 25 March 2019 / Accepted: 26 March 2019 / Published: 24 April 2019
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Abstract

With the advancement of new technologies, the number of connected devices, the amount of data generated, and the need to build an intelligently connected network of things to improve and enrich the human ecosystem open new doors to modifications and adaptations of current cellular network infrastructures. While more focus is given to low power wide area (LPWA) applications and devices, a significant challenge is the definition of Internet of Things (IoT) use cases and the value generation of applications on already existing IoT devices. Smartphones and related devices are currently manufactured with a wide range of smart sensors such as accelerometers, video sensors, compasses, gyros, proximity sensors, fingerprint sensors, temperature sensors, and biometric sensors used for various purposes. Many of these sensors can be automatically expanded to monitor a user’s daily activities (e.g., fitness workouts), locations, movements, and real-time body temperatures. Mobile network operators (MNOs) play a substantial role in providing IoT communications platforms, as they manage traffic flow in the network. In this paper, we discuss the global concept of IoT and machine-type communication (MTC), and we conduct device performance analytics based on data traffic collected from a cellular network. The experiment equips service providers with a model and framework to monitor device performance in a network. View Full-Text
Keywords: Internet of Things (IoT); device performance; low power wide area (LPWA); data analytics; smart sensors; predictive analytics; mobile network operators (MNOs) Internet of Things (IoT); device performance; low power wide area (LPWA); data analytics; smart sensors; predictive analytics; mobile network operators (MNOs)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Ogudo, K.A.; Muwawa Jean Nestor, D.; Ibrahim Khalaf, O.; Daei Kasmaei, H. A Device Performance and Data Analytics Concept for Smartphones’ IoT Services and Machine-Type Communication in Cellular Networks. Symmetry 2019, 11, 593.

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