Novel congestion control techniques for satellite ATM networks

The growth of the Internet and the World Wide Web has created an enormous demand for wideband data distribution around the globe. Satellite networks provide global reach and wide area coverage, especially to remote, rural and inaccessible regions. With a limited bandwidth, congestion is likely to occur when the demand for the bandwidth is high. In this paper, we present a capacity and flow assignment (CFA) model for the satellite ATM networks. We then present a stochastic programming approach to optimize the CFA in the satellite networks. The proposed model has been evaluated with a prototype network with 4 nodes, and the simulation results are promising.