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Measurement and Classification of Smart Systems Data Traffic Over 5G Mobile Networks

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Technology for Smart Futures

Abstract

Machine-to-Machine communication is rapidly growing and becoming a significant part of the current 4G and future 5G mobile network data traffic, which is intended to provide coverage support and lower costs for mobile network providers. The 5G mobile network represents a promising technology to support the future of Machine-to-Machine communications. In recent years, smart devices, such as smartphones and traffic monitoring systems, have experienced exponential growth over mobile networks with different radio resource usage. This has caused massive challenges as a result of simultaneous access data traffic as well as a large number of devices sending small-sized data. This chapter proposes a novel data traffic aggregation and slicing model with algorithms in 5G uplink, based on classifying and measuring the data traffic to achieve quality of service for smart systems. Moreover, 5G radio resources are efficiently shared by several smart devices in a relay node by aggregating incoming data traffic based on quality of service.

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Authors and Affiliations

  1. Department of Computer Science, Liverpool John Moores University, Liverpool, L3 3AF, UK

    Mohammed Dighriri, Gyu Myoung Lee & Thar Baker

Authors
  1. Mohammed Dighriri
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  2. Gyu Myoung Lee
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  3. Thar Baker
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Corresponding author

Correspondence to Mohammed Dighriri .

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Editors and Affiliations

  1. University of Suffolk, Suffolk, United Kingdom

    Mohammad Dastbaz

  2. Department of Computer Science, The University of Georgia, Athens, Georgia, USA

    Hamid Arabnia

  3. Sheffield Hallam University, Sheffield, United Kingdom

    Babak Akhgar

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Dighriri, M., Lee, G.M., Baker, T. (2018). Measurement and Classification of Smart Systems Data Traffic Over 5G Mobile Networks. In: Dastbaz, M., Arabnia, H., Akhgar, B. (eds) Technology for Smart Futures. Springer, Cham. https://doi.org/10.1007/978-3-319-60137-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-60137-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60136-6

  • Online ISBN: 978-3-319-60137-3

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