Open AccessScalable framework for green large cognitive radio networks
Author(s) -
Daha Belghiti Imane,
Berrada Ismail,
El Kamili Mohamed
Publication year - 2019
Publication title -
cognitive computation and systems
Language(s) - English
Resource type - Journals
ISSN - 2517-7567
DOI - 10.1049/ccs.2018.0015
Subject(s) - scalability , cognitive radio , computer science , protocol (science) , nash equilibrium , distributed computing , interference (communication) , cluster analysis , energy consumption , computer network , potential game , game theory , wireless , mathematical optimization , artificial intelligence , channel (broadcasting) , telecommunications , engineering , medicine , alternative medicine , mathematics , pathology , electrical engineering , economics , microeconomics , database
Cognitive radio networks (CRNs) have the capacity to be aware of the conditions of their operating environment, and dynamically reconfigure their own characteristics in order to reach the best available performances. These performances may be seriously impacted when the number of users in CRNs grows significantly. This study deals with efficient energy consumption and interference avoidance in large CRNs. To enhance the network lifetime, a new framework combining cognitive hierarchical clustering and the coalitional game is introduced. In this study, a new CRLEACH protocol is proposed and the well‐known LEACH protocol is used in CRNs. The authors prove theoretically that their coalition model with a new strategic learning algorithm leads to Nash equilibrium. Finally, the network performances of their framework are illustrated by numerical results.