On efficient multicasting in cognitive radio networks

Multicasting uses single transmission to send data to multiple destinations. Thus, minimizes the usage of resource like bandwidth, time and connection costs. In cognitive radio networks (CRNs), arrival of primary user (PU) at a particular channel causes the secondary user (SU) to terminate its communication. Hence, the potential of multicasting is restricted in CRNs due to uncertainty among channel caused by PU sudden appearance. This article presents multicast protocol where activities of PUs are modeled along with channel allocation. We propose an approach which performs local route repair procedure due to onset of PU and thereby avoiding end to end reroute procedures. The performance evaluation is conducted using NS2 simulator (CRCN patch) to outperform the proposed work.