Multiple Parameters Optimization for Cognitive Radio Environment Employing Cuckoo Search Algorithm

A spectrum opportunity considers the most significant feature, wherever channel obtain ability has to be exceedingly taking into account in several routing train in cognitive radio network. A choice of a whole path, starting from source to specific destination, is likely to be completed one time if we have stationary topology in case of a primary user is inattentive for the whole message time. To effectively transmit data packets and to develop cognitive routing protocols and to enforce challenges as a result of the changing nature of the obtainable spectrum, this research proposes an optimization path routing algorithm depend on the basis of the one of inspired approaches (Cuckoo Search Algorithm) to speed up the exploration for the optimal routes. This algorithm is a new meta-heuristic algorithm. It is being used for solving optimization problem. This study presents an advanced routing algorithm specified for this networks, this algorithm is based on the cuckoo search algorithm, makes the transmission process effectual, adaptive in addition to scalable with a cumulative number of nodes. The new guideline proposed better satisfies the demands of Quality of Services (QoS) and show that the algorithm is valid and effective in controlling the packet loss ratio, time delay and the residual bandwidth while satisfying service requirements, emphasizing of some important characteristics of cuckoo search algorithm.