A multiple-objective optimization algorithm for QoS routing in mobile-internet using service-aware model with inaccurate parameters

An overlay quantity-of-service (QoS) routing algorithm is proposed for a vast variety of services because the QoS optimization in heterogeneous and converged mobile-internet usually has inaccurate measurements. The algorithm is based on the model of multi-objective optimization and the service-aware requirements are inputs of the model. The multiple objects are optimized well and the QoS is ensured using the overlay QoS routing. The algorithm deals with the inaccurate measurements by building an equation to fair the network resource as far as possible. Multi QoS parameters are collected by sampling, and membership functions and probability theory are combined to fuzzy these parameters. Then multi-objective optimization algorithm is employed to get a solution set. A series of simulation results with random topology has confirmed the advantage of the scheme. Comparisons with other traditional algorithms show that the proposed algorithm improves the service QoS satisfaction rate, reduces the run time-overhead and enhances the resource utilization with taking the performance of nodes and links into account.