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A Wireless Traffic QoS Optimization Algorithm Based on Fuzzy Measurement

Qian Tan1,2, Yanwei Liu2, Yanni Han2 , Wei An2, Song Ci2,3 , and Hui Tang1,2
1.School of Communication Engineering, Chongqing University, Chongqing 400039, China
2.High Performance Network Lab, IOA, Chinese Academy of Sciences, Beijing 100190, China
3.Department of CEEN, University of Nebraska-Lincoln, NE 68182, USA
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 non-additive 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

Cite: Qian Tan, Yanwei Liu, Yanni Han, Wei An, Song Ci, and Hui Tang, "A Wireless Traffic QoS Optimization Algorithm Based on Fuzzy Measurement," Journal of Communications, vol. 9, no. 10, pp. 729-736, 2014. Doi: 10.12720/jcm.9.10.729-736
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