Model For High Performances in large Cognitive Radio Networks

What is it about?

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 paper deals with efficient energy consumption and interference avoidance in large CRNs. To enhance the network life time, this paper introduces a new framework combining cognitive hierarchical clustering and coalitional game. In this paper, a new CRLEACH protocol is proposed and the wellknown LEACH protocol is used in CRNs. We prove theoretically that our coalition model with a new strategic learning algorithm leads to Nash equilibrium (NE). Finally, the network performances of our framework are illustrated by numerical results.

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