An extended ant colony based routing algorithm for cognitive radio networks

To adapt to the dynamic characteristics of cognitive radio networks, we designed a routing algorithm based on ant colony. The network was modeled as a directional graph. Instead of broadcasting, ants looked for next hop through maximal probability in this model. The proposed algorithm combined the end-to-end delay with available channel nearby the node, made traffic loads balanced in all usable paths. Compared to such algorithm as AODV, it has adaptability to circumstance, decreased the end-to-end delay.