A ROUTING ALGORITHM IN STOCHASTIC NETWORKS

This article investigates the routing problem in networks where edge lengths are independent stochastic variables. The fundamental concept here is that by taking his or her demands and routing objectives into account, a user positioned at a node is given an estimation of the travel time to reach the destination node from different paths. The advantage of this method over the previous works is that it is not limited to one routing objective and that different factors can be effective in computing the shortest travel time which include mean, variance, mathematical expectation, etc. The algorithm presented here has been written using MATLAB software, which presents different paths from the source node to the destination node in addition to the sum of means and variances of the whole path for series-parallel and non-series-parallel networks. The suggested algorithm has been tested on a sample network.