A new intelligent link state routing algorithm based on Credit Base-CMAC neural network

Link state algorithm is a complex routing protocol that shares information with other routers in order to determine the best path. Link state protocols use characteristics of the route such as speed and cost as well as current congestion to determine the best path, which is typically computed by the Dijkstra algorithm, that it has high time complexity. In the present paper a new intelligent Link State routing algorithm based on Credit Base-CMAC (CB-CMAC) neural network is proposed. The new model determines best path by using delay and load parameters. The simulation results reveal that the proposed algorithm performs better than the AODV algorithm.