PDDT: Path discovery for end to end data transmission in Cognitive Radio Ad-Hoc Networks

The demand for spectrum channels that are used in wireless networks is flaring day by day as the trends in Information and Communication Technology (ICT) are changing with the swift upsurge of state of the art technology in the industry. One of the major technologies that are introduced to accommodate the changing trends is Cognitive Radio (CR) which supports dynamic spectrum channel provision. But the major concern with these Cognitive Radio Ad-Hoc Networks (CRAHN) is difficulty in setting the path amid nodes through a direct channel. Consequently, it is mandatory to set the path with a couple of channels in series. To exploit the resources at the maximum extent, path must be established through a couple of channels in series which requires dynamic channel allotment. This will avoid distance in the network to the possible extent. Multi-channel broadcasting path with maximum Quality of Service (QoS) condition for CRAHN is the critical area that is being discussed in this paper. The evaluation process of proposed technology takes place through adaptive genetic algorithms which will examine the available multi-channel paths. In fitness function, QoS metrics are considered. The output of this study is evident in the strength of the proposed model. There is every possibility that this model brings considerable development in channel allotment in CRAHN. As the adaptive genetic algorithm is incorporated; the difficulty involved in the process along with the time taken to complete by proposed method is also measured. Throughput, Packet Delivery Ratio (PDR) and the delay are also evaluated.