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Review on Cognitive Radio Technology for Machine to Machine Communication

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Abstract

Recently, due to the rapid and fast ever growth number of connected devices/machines starting from our house hold appliances to the large industrial machines connected through wired/wireless communication network is becoming greater or larger. Hence, the electromagnetic undesirable state and interference become very critical issue as the spectrum resources we have is limited. However, a cognitive radio technology which automatically detects available channel spectrum, then accordingly changes its transmission or reception parameters to allow more occurring or operating at the same time in wireless communications in a given spectrum band at one location is a promising method for the challenges machine to machine communication facing this days. In this paper work, some detail survey of machine to machine communication and cognitive radio technology is introduced. Moreover, the challenges and advantages we get from combining cognitive radio and Machine to machine will be discussed.

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, Addis Ababa Institute of Technology, Addis Ababa, Ethiopia

    Negasa B. Teshale & Habib M. Hussien

Authors
  1. Negasa B. Teshale
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  2. Habib M. Hussien
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Corresponding author

Correspondence to Negasa B. Teshale .

Editor information

Editors and Affiliations

  1. Council for Scientific and Industrial Research, Pretoria, South Africa

    Fisseha Mekuria

  2. Information Technology, University of Turku, Turku, Finland

    Ethiopia Enideg Nigussie

  3. Dresden University of Technology, Dresden, Germany

    Waltenegus Dargie

  4. Aalto University, Helsinki, Finland

    Mutafugwa Edward

  5. Bahir Dar Institute of Technology, Bahir Dar, Ethiopia

    Tesfa Tegegne

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Teshale, N.B., Hussien, H.M. (2018). Review on Cognitive Radio Technology for Machine to Machine Communication. In: Mekuria, F., Nigussie, E., Dargie, W., Edward, M., Tegegne, T. (eds) Information and Communication Technology for Development for Africa. ICT4DA 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-95153-9_31

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  • DOI: https://doi.org/10.1007/978-3-319-95153-9_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95152-2

  • Online ISBN: 978-3-319-95153-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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