Achieving a Better Energy-Efficient Cognitive Radio Network

Authors

  • Efe F. Orumwense School of Electrical, Electronics and Computer Engineering, Howard College, University of KwaZulu-Natal, Durban - 4041, South Africa
  • Thomas J. Afullo School of Electrical, Electronics and Computer Engineering, Howard College, University of KwaZulu-Natal, Durban - 4041, South Africa.
  • Viranjay M. Srivastava School of Electrical, Electronics and Computer Engineering, Howard College, University of KwaZulu-Natal, Durban - 4041, South Africa.

Keywords:

Energy efficiency, Cognitive radio networks, Energy consumption, Energy harvesting, Wireless communication

Abstract

Energy efficiency in cognitive radio networks has received lots of research attention lately due to the impact low energy efficiency has on the design, implementation and performance of the network. In this research, cognitive radio network as regards to energy efficiency has been analyzed. The importance of energy efficiency in cognitive radio networks and sources of unnecessary energy consumption in the network is also investigated. Ways in which higher energy efficiency in cognitive radio networks can be achieved is also addressed by employing suitable protocols, mechanisms and algorithm analyzed in the article. These measures can bring about low energy consumption amongst components in the network, improved sensing reliability and better energy efficiency which in turn enhances the overall network throughput.

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Published

2016-01-01

How to Cite

Efe F. Orumwense, Thomas J. Afullo, & Viranjay M. Srivastava. (2016). Achieving a Better Energy-Efficient Cognitive Radio Network. International Journal of Computer Information Systems and Industrial Management Applications, 8, 9. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/321

Issue

Section

Original Articles