QoS provisioning by EFuNNs-based handoff planning in cellular MPLS networks

摘要: In recent years, Multi Protocol Label Switching (MPLS) has been considered as the preeminent technology to incur Quality of Service (QoS) for integrated services. However, in wireless networks remotes mobility endangers resource management procedure and QoS provisioning. this paper we propose a new location prediction method based on Evolving Fuzzy Neural Networks (EFuNNs), manage Switched Paths (LSPs) an MPLS domain. The proposed predictor employs geographical characteristics underlying area movement history remote, produce set confidence ratios output. That is criterion establishing managing LSPs so that preserved. simulation results have shown superior performance terms accuracy utilization improvement methods.