• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Mao Jianbing, Mao Yuming, Leng Supeng, and Bai Xiang. Performance Analysis of Multi-Channel MAC Schemes Based on 802.11[J]. Journal of Computer Research and Development, 2009, 46(10): 1651-1659.
Citation: Mao Jianbing, Mao Yuming, Leng Supeng, and Bai Xiang. Performance Analysis of Multi-Channel MAC Schemes Based on 802.11[J]. Journal of Computer Research and Development, 2009, 46(10): 1651-1659.

Performance Analysis of Multi-Channel MAC Schemes Based on 802.11

More Information
  • Published Date: October 14, 2009
  • In order to improve the throughput performance of medium access control (MAC) schemes in wireless communication networks, some researchers proposed to split the single shared channel into two sub-channels: a control sub-channel and a data sub-channel. The control sub-channel is used for access reservation to the data sub-channel over which the data packets are transmitted. In this paper, an analytical framework is presented to evaluate the maximum achievable throughput of a class of generic multi-channel MAC schemes that are based on the RTS/CTS (ready-to-send/clear-to-send) dialogue and on the backoff contention resolution mechanism proposed in 802.11 DCF(distributed coordination function). By making use of a discrete Markov chain model for the backoff mechanism, the interval time of successfully transmitted RTS/CTS on the control sub-channel is obtained, and then it is applied to derive the saturation throughput of the multi-channel MAC schemes, which is closely related to the bandwidth allocation ratio between the control sub-channel and the data sub-channel. Moreover, the influence of the number of stations, the packet size, and the minimum contention window on the optimal bandwidth allocation ratio is investigated. Compared with the performance of the corresponding single channel MAC scheme that sends RTS/CTS packets and DATA packets on a single shared channel, the experiment results show that the multi-channel MAC schemes can only bring some performance enhancement. But under the condition that RTS/CTS are transmitted in full channel rate, the single channel MAC scheme can out-perform the multi-channel MAC schemes.
  • Related Articles

    [1]Hu Jun, Chen Yan, Zhang Qinghua, Wang Guoyin. Optimal Scale Selection for Generalized Multi-Scale Set-Valued Decision Systems[J]. Journal of Computer Research and Development, 2022, 59(9): 2027-2038. DOI: 10.7544/issn1000-1239.20210196
    [2]Wang Nian, Peng Zhenghong, Cui Li. EasiFFRA: A Fast Feature Reduction Algorithm Based on Neighborhood Rough Set[J]. Journal of Computer Research and Development, 2019, 56(12): 2578-2588. DOI: 10.7544/issn1000-1239.2019.20180541
    [3]Xie Qin, Zhang Qinghua, Wang Guoyin. An Adaptive Three-way Spam Filter with Similarity Measure[J]. Journal of Computer Research and Development, 2019, 56(11): 2410-2423. DOI: 10.7544/issn1000-1239.2019.20180793
    [4]Wu Weizhi, Yang Li, Tan Anhui, Xu Youhong. Granularity Selections in Generalized Incomplete Multi-Granular Labeled Decision Systems[J]. Journal of Computer Research and Development, 2018, 55(6): 1263-1272. DOI: 10.7544/issn1000-1239.2018.20170233
    [5]Yao Sheng, Xu Feng, Zhao Peng, Ji Xia. Intuitionistic Fuzzy Entropy Feature Selection Algorithm Based on Adaptive Neighborhood Space Rough Set Model[J]. Journal of Computer Research and Development, 2018, 55(4): 802-814. DOI: 10.7544/issn1000-1239.2018.20160919
    [6]Fu Zhiyao, Gao Ling, Sun Qian, Li Yang, Gao Ni. Evaluation of Vulnerability Severity Based on Rough Sets and Attributes Reduction[J]. Journal of Computer Research and Development, 2016, 53(5): 1009-1017. DOI: 10.7544/issn1000-1239.2016.20150065
    [7]Duan Jie, Hu Qinghua, Zhang Lingjun, Qian Yuhua, Li Deyu. Feature Selection for Multi-Label Classification Based on Neighborhood Rough Sets[J]. Journal of Computer Research and Development, 2015, 52(1): 56-65. DOI: 10.7544/issn1000-1239.2015.20140544
    [8]Hu Xiaojian, Yang Shanlin, Hu Xiaoxuan, Fang Fang. Optimal Decomposition of Decision Table Systems Based on Bayesian Networks[J]. Journal of Computer Research and Development, 2007, 44(4): 667-673.
    [9]Wei Lai, Miao Duoqian, Xu Feifei, and Xia Fuchun. Research on a Covering Rough Fuzzy Set Model[J]. Journal of Computer Research and Development, 2006, 43(10): 1719-1723.
    [10]Yi Gaoxiang and Hu Heping. A Web Search Result Clustering Based on Tolerance Rough Set[J]. Journal of Computer Research and Development, 2006, 43(2): 275-280.

Catalog

    Article views (818) PDF downloads (731) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return