| IEEE 802.11移动自组织网络节点竞争窗口长度的概率分布 |
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| 引用本文： | 葛永明,朱艺华,龙胜春,彭静.IEEE 802.11移动自组织网络节点竞争窗口长度的概率分布[J].电子学报,2010,38(8):1841-1844. |
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| 作者姓名： | 葛永明 朱艺华 龙胜春 彭静 |
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| 作者单位： | 1. 浙江机电职业技术学院,浙江杭州 310053;2. 浙江工业大学计算机科学与技术学院,浙江杭州 310023;3. 浙江农林大学信息工程学院,浙江杭州311300 |
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| 基金项目： | 国家自然科学基金，浙江省重大科技专项重点国际合作项目，浙江省自然科学基金 |
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| 摘 要： | 在基于IEEE 802.11的移动自组织网络中,MAC(Medium Access Control)层提供了DCF(Distributed Coordinate Function)以控制节点对无线信道的争用.DCF包括了BEB (Binary Exponential Backoff)算法.该文对BEB的重要参数——竞争窗口CW(Contention Window)进行研究,通过随机建模,导出了竞争窗口长度的概率分布,并进行数值分析.研究结果可应用于IEEE 802.11移动自组织网络.
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| 关 键 词： | IEEE 802.11标准 移动自组织网络 竞争窗口 随机分析 |
| 收稿时间： | 2010-02-04 |
Probability Distribution of the Contention Window Size in the IEEE 802.11 Based Mobile Ad Hoc Networks |
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| GE Yong-ming,ZHU Yi-hua,LONG Sheng-chun,PENG Jing.Probability Distribution of the Contention Window Size in the IEEE 802.11 Based Mobile Ad Hoc Networks[J].Acta Electronica Sinica,2010,38(8):1841-1844. |
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| Authors: | GE Yong-ming ZHU Yi-hua LONG Sheng-chun PENG Jing |
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| Affiliation: | 1. Zhejiang Institute of Mechanical and Electrical Engineering,Hangzhou,Zhejiang 310053,China;2. College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou,Zhejiang 310023,China;3. School of Information Engineering,Zhejiang Agriculture and Forestry University,Hangzhou,Zhejiang 311300,China |
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| Abstract: | In an IEEE 802.11 based mobile ad hoc network (MANET),the wireless channel is accessed through the DCF (Distributed Coordinate Function),which is provided at the MAC (Medium Access Control) layer of the IEEE 802.11 standard to control channel contention among nodes.The DCF embeds the BEB (Binary Exponential Backoff) algorithm.The key parameter CW (contention window) of the BEB is investigated by stochastic analysis modeling so that the probability distribution of the contention window size is derived.Numeric results are presented to analyze the performance of the BEB.The derived probability distribution is applicable in MANETs. |
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| Keywords: | IEEE 802 11 standard mobile ad hoc networks contention window stochastic analysis |
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