A Wireless Traffic QoS Optimization Algorithm Based on Fuzzy Measurement

Abstract

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. Index Terms-Choquet integral, interdependency, QoS, protocol parameter I. INTRODUCTION With the rapid development of broadband wireless communication technology, the wireless network tends to support more complicated traffic gradually. In order to improve the user experience, different traffics should satisfy different QoS (Quality of Service) requirements. For instance, for the best-effort delivery traffic, it should be provided with high throughput and low data packet loss ratio. While for the real-time traffic, it should satisfy the low latency and low jitter QoS demand. However, due to the intricacy of wireless network and the complicated relationship among the network parameters, how to guarantee the user's QoS based on the internet technology becomes an intractable issue. Recently, crosslayer design has attracted a lot research interests because of its particular advantage in improving the system