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Wireless Personal Communications

, Volume 108, Issue 4, pp 2517–2540 | Cite as

Nature Inspired Optimization Algorithms Based Adaptation of Transmission Parameters in CR Based IoTs

  • Avneet KaurEmail author
  • Surbhi Sharma
  • Amit Mishra
Article
  • 48 Downloads

Abstract

Cognitive radio (CR) is a promising technology to overcome the challenge of additional spectrum requirement posed by internet of things (IoT) supported applications. This paper brings out the comparative performance analysis of different optimization techniques for adapting the transmission parameters in five distinct transmission scenarios for a multicarrier based CR-IoT network. Parameter adaptation problem is rather complex to be solved for a multicarrier system with large number of transmission variables. Inspired by the efficient exploration and exploitation abilities of recently proposed nature inspired meta-heuristic optimization algorithms, the application of these techniques has been investigated for solving the proposed multiobjective optimization problem.

Keywords

Cognitive radio Cognitive decision engine Internet of things Multicarrier system Nature inspired metaheuristics 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringThapar Institute of Engineering and TechnologyPatialaIndia

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