*Assistant Professor, Department of Electronics and Communication Engineering, Vijaya Institute of Technology for Women, Enikepadu, Krishna (Dt), Andhra Pradesh
**IV/IV B.Tech, Department of Electronics and Communication Engineering, Vijaya Institute of Technology for Women, Enikepadu, Krishna (Dt), Andhra Pradesh
Recent advances in communication technologies and the proliferation of wireless computing and communication devices make the radio spectrum overcrowded. However, experiments from the Federal Communication Commission (FCC) reveals that the spectrum utilization varies from 15% − 85%. Consequently, Cognitive Radio Networks (CRNs) are proposed to utilize the radio spectrum opportunistically. Therefore, FCC is currently working on the concept of unlicensed users “borrowing” spectrum from incumbent license holders temporarily to improve the spectrum utilization. This concept is called dynamic spectrum access (DSA). Cognitive radios offer versatile, powerful, and portable wireless transceivers enabling DSA.
For complex computer networks with many tunable parameters and network performance objectives, the task of selecting the ideal network operating state is difficult. To improve the performance of these kinds of networks, this research proposes the idea of the cognitive network. A cognitive network is a network composed of elements that, through learning and reasoning, dynamically adapt to varying network conditions in order to optimize end-to-end performance. Therefore, a new channel selection strategy is required which cause less harmful interference to PR nodes and try to maximize the chances that the message is delivered to the neighboring cognitive radio receivers, thus increasing the data dissemination reachability.
Cognitive radio networks, channel selection, dynamic spectrum access networks, spectrum sensing, cooperation, Receiver Detection, OR and AND rule
