Yapay Zeka Hızlı Bakış & Çıkarımlar
AI InsightOur results show an efficient way to balance the effects of the metrics in the context of many-to-many routing.
📌 3 Maddede Bu Makale
Abstract
Different metrics are used for measuring the goodness of packet routing between the source and destination pairs in a communication network. One approach is to compute the paths from the measured metric values, which are predetermined independently according to the network resources. The combination of some metrics of different natures to get a composite cost function for the routing process is non-trivial. We consider two metrics, namely delay and packet loss rate. The first one takes values from the large numbers and the second from the small. We propose some methods for constructing composite functions of these metrics without any constraints and use them for the shortest path calculations. We give the numerical results of the proposed composite functions versus the Dijkstra’s algorithm with the individual metrics. We spot out the best function according to our computer simulation results. Our composite function works for any arbitrary point-to-point networks. To the best of our knowledge, the technique is novel. Our results show an efficient way to balance the effects of the metrics in the context of many-to-many routing.