User-Demand Adaptive P2P Super Node Selection Strategy

A super node selection strategy based on analytic hierarchy process (AHP) is proposed. In this strategy, the network parameters threshold filter is set up based on user-demand metrics calculation, the filter to the existing super nodes is applied to get the preliminary nodes set; and then analytic hierarchy process (AHP) model is constructed. The simulation results show that the node selection strategy can improve the user satisfaction degree to above 95%, and achieve a good balance between network searching delay and network bandwidth consumption.