Optimisation of Cuckoo Search Algorithm to improve Quality of Service Routing in Cognitive Radio Ad Hoc Networks

Cloud computing, mobility, and the Internet of Things (IoT) have created large data sets, which require more spectrum for data transmission. Unfortunately, the spectrum is a scarce resource, which is being underutilised by licensed users while the unlicensed spectrum is overcrowded. Cognitive radio technology has emerged as a promising solution to the underutilization of the spectrum. This study, focuses on minimizing the signal overhead, improving of Quality of Service (QoS) and the scalability of routing protocols to ensure the reliability of the network. Network simulator 2.31 with a cognitive radio network patch was used to simulate the proposed scheme in Linux operating system. The study uses a metaheuristic algorithm called cuckoo search algorithm inspired by nature to establish a stable path with enough resources. From the literature, researchers identified techniques, which can achieve good performance in routing in terms of delay, dropped packets and QoS in ad hoc networks. The simulations depict that the proposed scheme performs better than the existing scheme.