Cognition Radio Enabled IoT

  • Md. Mahfuzur RahmanEmail author
  • Mohammad Abdul Matin
Part of the Internet of Things book series (ITTCC)


Internet of things (IoT) has changed human lifestyle by introducing various smart applications. In recent years, sophisticated automation systems have become an essential outcome of the IoT paradigm. Due to the characteristics of IoT applications, devices need to communicate with each other seamlessly. New networking technologies and architectures have also been designed to support the communication requirements of current and future IoT devices. Wireless and radio communications are very desirable for achieving communication among the devices with various proximity. As there is a rapid growth in the number of IoT devices networked based on wireless transmission, radio frequency resource needs to be allocated efficiently to enhance radio spectrum utilization. In wireless connection, Cognitive Radio (CR) is an opportunistic radio access technology targeted to improve the spectrum usage and to mitigate the excessive contention of radio communication. In this chapter, we have identified the functional similarities between IoT and CR, and the challenges that are important to be addressed to integrate CR technology for IoT. We have also proposed a framework for cognitive radio enabled IoT that provides efficient radio spectrum utilization for IoT.


  1. 1.
    Ali Khan, A., Husain Rehmani, M., Rachedi, A.: Cognitive-radio-based internet of things: applications, architectures, spectrum related functionalities, and future research directions. IEEE Wirel. Commun. 24(3), 17–25 (2017)Google Scholar
  2. 2.
    Evans, D.: The internet of things: how the next evolution of the internet is changing everything. CISCO White Pap. 1(2011), 1–11 (2011)Google Scholar
  3. 3.
    Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M.: Internet of things: a survey on enabling technologies, protocols, and applications. IEEE Commun. Surv. Tutor. 17(4), 2347–2376 (2015)CrossRefGoogle Scholar
  4. 4.
    Rahman, M., Graham, P.: Compatibility-based static VM placement minimizing interference. J. Netw. Comput. Appl. 84, 68–81 (2017)CrossRefGoogle Scholar
  5. 5.
    Md Mahfuzur Rahman and Peter Graham: Responsive and efficient provisioning for multimedia applications. Comput. Electr. Eng. 53, 458–468 (2016)CrossRefGoogle Scholar
  6. 6.
    Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Context aware computing for the internet of things: a survey. IEEE Commun. Surv. Tutor. 16(1), 414–454 (2014)CrossRefGoogle Scholar
  7. 7.
    Abowd, G.D., Mynatt, E.D.: Charting past, present, and future research in ubiquitous computing. ACM Trans. Comput.-Hum. Interact. (TOCHI) 7(1), 29–58 (2000)Google Scholar
  8. 8.
    Matin, M.A.: Spectrum Access and Management for Cognitive Radio Networks. Springer (2017)Google Scholar
  9. 9.
    Haykin, S., et al.: Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23(2), 201–220 (2005)CrossRefGoogle Scholar
  10. 10.
    Mitola, J.: Cognitive radio for flexible mobile multimedia communications. In: 1999 IEEE International Workshop on Mobile Multimedia Communications (MoMuC’99), pp. 3–10. IEEE (1999)Google Scholar
  11. 11.
    Jondral, F.K.: Software-defined radio: basics and evolution to cognitive radio. EURASIP J. Wirel. Commun. Netw. 2005(3), 275–283 (2005)Google Scholar
  12. 12.
    Wu, J., Zhao, W.: Design and realization of WInternet: from net of things to internet of things. ACM Trans. Cyber-Phys. Syst. 1(1), 2:1–2:12 (2016). ISSN: 2378-962XGoogle Scholar
  13. 13.
    Yang, Z., Yue, Y., Yang, Y., Peng, Y., Wang, X., Liu, W.: Study and application on the architecture and key technologies for IoT. In: 2011 International Conference on Multimedia Technology (ICMT), pp. 747–751. IEEE (2011)Google Scholar
  14. 14.
    Sherman, M., Mody, A.N., Martinez, R., Rodriguez, C., Reddy, R.: IEEE standards supporting cognitive radio and networks, dynamic spectrum access, and coexistence. IEEE Commun. Mag. 46(7) (2008)Google Scholar
  15. 15.
    Tan, L., Wang, N.: Future internet: the internet of things. In: 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), vol. 5, pp. V5–376. IEEE (2010)Google Scholar
  16. 16.
    Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15): 2787–2805 (2010). ISSN: 1389-1286Google Scholar
  17. 17.
    Mitola, J.: Cognitive radio: an integrated agent architecture for software defined radio (2000)Google Scholar
  18. 18.
    Baclawski, K., Brady, D., Kokar, M.: Achieving dynamic interoperability of communication at the data link layer through ontology based reasoning. In: Proceedings of 2005 SDR Forum Technical Conference, pp. 14–18 (2005)Google Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.North South UniversityDhakaBangladesh

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