PROJECT TITLE :

Backoff Algorithm in Cognitive Radio MAC Protocol for Throughput Enhancement

ABSTRACT:

In this paper, we have a tendency to have explored a completely unique concept of the medium access control (MAC) protocol for the distributed cognitive radio network. We have implemented the backoff algorithm in the self-scheduled multichannel cognitive radio MAC (SMC-MAC) protocol for the contention solving among the cognitive users and, hence, reserve the licensed channels for information transmission. During this management channel protocol, the cognitive users share the sensing results with each alternative, and each channel is divided into four intervals like idle, sensing–sharing, contention, and knowledge transmission. But, the backoff algorithm has been implemented during the contention interval to enhance the number of successful users and, hence, has increased the throughput of cognitive radio network. The backoff algorithm has considerably minimized the competition and, hence, collision among the cognitive users whereas reserving the unutilized licensed channels.