Pathway Collection below Resource Constraints in Multihop Cognitive Radio Networks
Sri Shakthi · 2013
Cognitive Radio (CR) is an emerging technology to solve the spectrum underutilization problems by opens the licensed spectrum bands for opportunistic usage and initiates spectrum trading to improve the spectrum utilization. The path selection problem in multihop cognitive radio networks (CRNs) are investigated below constraints on flow routing, link scheduling and CR source's budget. Cognitive Radio session-based spectrum trading develops the spectrum trading mechanisms that are very effective based on the cross-layer optimization in multi-hop CRNs. New service provider, called secondary service provider (SSP) helps CR sessions to select the paths for packet delivery. The SSP purchases the licensed spectrum and jointly conducts flow routing and link scheduling under the budget constraints. A 4D conflict graph is used to characterize the conflict relationship among CR links and objective of maximizing the end-to- end throughput. The heuristic algorithm used to solve the NP-hardness of the problem and finding the path with source budget. The heuristic algorithm considers only single path routing which decreases the network performance. In order to increase the network performance the Multipath Routing and Spectrum Access algorithm has been proposed.