CPCNN and its application to multiple constrained QoS route
Tan Ying-fang · Journal of Communications · 2010
Based on the PCNN (pulse-coupled neural network), the CPCNN (competitive PCNN) model was proposed. First, the properties of pulse-wave propagation in the CPCNN were analyzed for the solution of network shortest route. Then the theories of generation, decomposing and states conversion of pulse-wave task were suggested to realize the pulse-wave propagation constrained. Finally, the CPCNN was successfully applied to solve multiple constrained QoS route with globally optimal result. The computer simulation shows that the number of iterations for proposed algorithm is the least, and the difference is fairly obvious compared with former methods, it only depends on the length of the globally optimal QoS route between source node and destination node, not the number of nodes and edges, and the complexity of network distribution structure. Thus, the method has better computational performance and dominance.