Channels Intersection Weight Based Routing in Cognitive Radio Networks

Abstract

In multi-hop cognitive radio networks, the communication links among the cognitive nodes fail easily with the dynamic appearances of the licensed users. We propose an approach to compute the weight of the available channels intersections. The cognitive nodes compare the weights of different routing paths and update the route-table to reduce the re-routing times caused by the network changing, in order to reduce packet loss rate in cognitive radio networks. Simulation results show that in a multi-hop cognitive radio network with frequent change of the licensed users and uneven distribution of the available spectrum, our protocol provides less packet loss rate in the communication channels and proper overhead in the control channel. © Springer-Verlag Berlin Heidelberg 2010.