Opportunistic Cooperative Cognitive Multicast Routing Protocol for Ad Hoc Networks

Abstract

Cognitive Radio and 5G are two emanating technologies, which empower the wireless data transmission. The need for more bandwidth and its utility will demand more spectrum resulting in the integration of CR in 5G networks. The potentiality of multi-hop transmission is now unleashed and routing performances are being improved with various algorithms and Optimization techniques for Multicast Wireless Cognitive Networks. Though the spectral utilization and through-put have been maximized, the time-varying characteristics of the channel is a key challenge that has to be resolved. Here, the main objective is to design the Opportunistic Cooperative Cognitive Multicast Routing Protocol (OCCMRP) that includes four stages, the Real-Time Spectrum Sensing, Capacity based Channel allocation, Optimized Least Cost Routing and Optimal Relay Selection. Further, to obtain secured performance over the computed MST Cooperative route, Differential Decode-Amplify and Forward technique is performed. Simulation results show that the proposed Differential Decode-Amplify and Forward Routing (DAF-MR) with Multi-channel allocation has 9% better Packet Delivery Ratio and 60% less Transmission Delay over the other legacy protocols.