Abstract:

To solve the drawbacks that the existing routing algorithms do not consider the effect of the arrival rate of primary users and the competitive channel use of secondary users, a newly routing algorithm called multi-hop cognitive routing based on channel allocation (MCRC) is presented, which takes the channel allocation and probability of secondary users in cognitive radio networks (CRNs) into consideration. Firstly, MCRC can obtain the global channel allocation which has the maximization system throughout. Secondly, in order to get the channel used probability of secondary users, MCRC considers the probability of primary users and the channel competition probability of secondary users jointly. Finally, the channel effective transmission delay is used as the routing index and the smallest transmission delay route can be found by using Dijkstra algorithm. Numerical outcomes show that MCRC exceeds the existing routing algorithm, by means of which the average end-to-end delay can be evidently reduced and the average end-to-end throughput in the CRNs is also significantly improved.