A Wireless Traffic QoS Optimization Algorithm Based on Fuzzy Measurement

—A cross-layer based QoS optimization algorithm for wireless traffic networking is presented in this paper. In terms of the fuzzy measure theory, we propose a nonlinear wireless traffic networking optimization model based on the Choquet integral. The model can characterize not only the protocol parameters’ significance but also the interdependency among those parameters on the QoS of data transmission by a nonadditive function. The distinct characteristic of the proposed model lies in that the contribution of interaction among the system parameters to the network performance can be evaluated quantitatively by a general nonlinear and non-additive integral. Once the network condition cannot satisfy the user’s QoS requirement, the most significant networking parameters can be adjusted to improve the data transmission performance and further achieve the user’s QoS demand. Finally, simulation results are given to verify the effectiveness and efficiency of the proposed method over the WLAN network.