7th International Conference on Communications and Networking in China

Research Article

Stochastic Delay Analysis for 802.11 Protocols with Self-similar Traffic

  • @INPROCEEDINGS{10.1109/ChinaCom.2012.6417461,
        author={Jie Zhang and Li Yu and Lie Jiang and Jingjing Luo},
        title={Stochastic Delay Analysis for 802.11 Protocols with Self-similar Traffic},
        proceedings={7th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2012},
        month={9},
        keywords={80211 protocols qos self-similar traffic stochastic network calculus},
        doi={10.1109/ChinaCom.2012.6417461}
    }
    
  • Jie Zhang
    Li Yu
    Lie Jiang
    Jingjing Luo
    Year: 2012
    Stochastic Delay Analysis for 802.11 Protocols with Self-similar Traffic
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2012.6417461
Jie Zhang1, Li Yu1,*, Lie Jiang1, Jingjing Luo1
  • 1: Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Wuhan, Hubei, PRC
*Contact email: hustlyu@mail.hust.edu.cn

Abstract

IEEE 802.11 wireless local area network (WLAN) is one of the most deployed wireless technologies all over the world. An accurate and comprehensive performance evaluation is crucial for the quality of service (QoS) guarantee in 802.11 networks. In this paper, we use the method of stochastic network calculus to obtain the stochastic delay bounds of 802.11 protocols. In particular, we take the self-similar property of wireless traffic into consideration and fractional Brownian motion (fBm) traffic model is adopted to describe the arrival traffic. We derive the stochastic arrival curve of fBm traffic and the stochastic service curve of existing model of 802.11, then obtain the stochastic delay and backlog bounds. Finally, we use matlab to calculate theoretical results and ns-2 for simulations. The results show that the delay of the 802.11 wireless node increases with the increasing of Hurst parameter H and the number of competition stations n. And the results also indicate that the theoretical results well bound simulation results.