文章基本信息

标题：Achieving a Better Energy-Efficient Cognitive Radio Network
本地全文：下载
作者：Efe F. Orumwense ; Thomas J. Afullo ; Viranjay M. Srivastava 等
期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2016
卷号：8
页码：205-213
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：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.
关键词：Energy efficiency; Cognitive radio networks; Energy ; consumption; Energy harvesting; Wireless communication