Scalable framework for green large cognitive radio networks
| Autor: | Ismail Berrada, Mohamed El Kamili, Imane Daha Belghiti |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
game theory
Routing protocol interference avoidance lcsh:Computer engineering. Computer hardware Computer science crleach protocol Distributed computing pattern clustering lcsh:TK7885-7895 lcsh:Computer applications to medicine. Medical informatics radio networks symbols.namesake strategic learning algorithm crn energy consumption telecommunication network reliability cognitive radio Protocol (object-oriented programming) cognitive hierarchical clustering network lifetime nash equilibrium interference suppression green large cognitive radio networks General Medicine Energy consumption Cognitive radio Nash equilibrium Scalability symbols lcsh:R858-859.7 coalitional game Game theory routing protocols Efficient energy use |
| Zdroj: | Cognitive Computation and Systems (2019) |
| ISSN: | 2517-7567 |
| DOI: | 10.1049/ccs.2018.0015 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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