Intelligent routing in large-scale communications networks

The authors consider a class of large-scale communication networks with both dynamic adaptive routing and deterministic routing mechanisms and devise efficient routing algorithms for network designs involving multiple types of traffic. Analytical approaches are combined with quasi-simulation methods to evaluate the performance measures for each given design. The design goal for the networks under study comprises multiple objectives and requirements. Modern expert system and artificial intelligence techniques are incorporated into the design methods to meet the objectives in efficient ways. The routing mechanisms will vary depending on the traffic types, and the affected network performance will be discussed. The study is also extended to integrated networks with voice and data traffic