Fuzzy-Based Reliable Spectrum Tree Formation for Efficient Communication in Cognitive Radio Ad Hoc Network

In view of the scarce major radio resource vis-a-vis to resolve the bottleneck experienced in the present scenario of revolutionary technology, researches are under progress in the domain of cognitive radio ad hoc network (CRAHN). In this context, spectrum sensing followed by reliable as well as efficient spectrum detection and its effective utilization has been a main feature to achieve the quality at par with the intelligibility during communication in CRAHN. In this paper, performance of spectrum sensing has been discussed and tried to meet the challenges for a secured communication. A new approach has been formulated here using spectrum tree formation in cognitive radio ad hoc network environment at each intermediate node in between source and destination points. Analyzing this novel concept using fuzzy spectrum tree, the proposed model proves to perform better in cognitive radio ad hoc network environment in terms of throughput with minimum overheads.