A device performance and data analytics concept for smartphones' IoT services and machine-type communication in cellular networks

Kingsley A. Ogudo, Dahj Muwawa Jean Nestor, Osamah Ibrahim Khalaf, Hamed Daei Kasmaei

Research output: Contribution to journalArticlepeer-review

80 Citations (Scopus)

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.

Original languageEnglish
Article number593
JournalSymmetry
Volume11
Issue number4
DOIs
Publication statusPublished - 1 Apr 2019

Keywords

  • Data analytics
  • Device performance
  • Internet of Things (IoT)
  • Low power wide area (LPWA)
  • Mobile network operators (MNOs)
  • Predictive analytics
  • Smart sensors

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Chemistry (miscellaneous)
  • General Mathematics
  • Physics and Astronomy (miscellaneous)

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