1Dept. of Computer Engineering, Liyan Institute of Education, Bushehr, Iran
2Dept. of Computer Engineering, Firoozabad Branch, Islamic Azad University, Firoozabad, Iran
3Dept. of Computer Engineering, Liyan Institute of Education, Bushehr, Iran
The advent of Multiprotocol Label Switching (MPLS) technology is the basis of the next generation network to improve multimedia applications. One of the most basic traffic engineering concepts in MPLS is routing for Layered Service Provider (LSP). The purpose of providing routing algorithms is to maximize the number of routed requests according to QoS satisfaction. Most research in this area focuses solely on bandwidth, and relatively few studies consider both bandwidth limits and delay. In this paper, a dynamic routing algorithm based on a fuzzy filtering method is proposed which considers both bandwidth limits and end to end delay for route search. The fuzzy system is a prediction model based on fuzzy weighting rules for filtering high-resource requests. The proposed method tries to postpone requests with high bandwidth and maximum end to end delay. Various scenarios have been used to simulate and evaluate the efficiency of the proposed method, and criteria such as the number of requests accepted, average path length and load balance have been measured. The simulation results prove that the proposed method provides optimal routing performance for MPLS networks.
Routing algorithm, MLPS networks, Quality of service, Fuzzy filtering
