Abstract

In this paper, intelligent interring route control is proposed for bridges that connect two resilient packet rings (RPRs). The intelligent interring route controller (IIRC) is designed according to the load-balancing principle, where the IIRC considers not only the congestion degree of both bridge and its downstream nodes but also the service rate and the number of hops to destination. It contains three functional blocks implemented by fuzzy logic systems or pipeline recurrent neural networks (PRNNs). A fuzzy bridge-node congestion indicator (FBCI) is to detect the congestion degree of the bridge, a PRNN downstream-node fairness predictor (PDFP) is to predict the mean received fairRate from downstream nodes, and a fuzzy route controller (FRC) is to determine a preference value of route according to the congestion indication, the predicted mean received fairRate, the service rate of the bridge, and the number of hops to destination. Simulation results show that the IIRC improves the performance by about 10% and 220% in packet-dropping probability, by about 13% and 18% in average packet delay, and by about 6% and 19% in throughput over the queue-length threshold route controller (QTRC) and the shortest path route controller (SPRC), respectively. Moreover, IIRC achieves higher throughput by 7% than IIRC itself but without considering the prediction of the mean received fairRate.

© 2009 IEEE

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