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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Performance Modeling and Analysis of the IEEE 802.11p EDCA Mechanism for VANET
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Performance Modeling and Analysis of the IEEE 802.11p EDCA Mechanism for VANET

机译：VANET的IEEE 802.11p EDCA机制的性能建模和分析

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摘要

This paper studies performance modeling of the IEEE 802.11p enhanced distributed channel access (EDCA) mechanism and develops performance models to analyze the access performance of the IEEE 802.11p EDCA mechanism. A 2-D Markov chain is first constructed to model the backoff procedure of an access category (AC) queue and establish a relationship between the transmission probability and collision probability of the AC queue. Then, a 1-D discrete-time Markov chain is constructed to model the contention period of an AC queue and establish another relationship between the transmission probability and collision probability of the AC queue. Unlike most existing work, the 1-D Markov chain is extended to be infinite in modeling the contention period of an AC queue under both saturated and nonsaturated conditions. The two Markov models take into account all major factors that could affect the access performance of the IEEE 802.11p EDCA mechanism, including the saturation condition, standard parameters, backoff counter freezing, and internal collision. Based on the two Markov models, performance models are further derived to describe the relationships between the parameters of an AC queue and the access performance of the AC queue in terms of the transmission probability, collision probability, normalized throughput, and average access delay, respectively. The effectiveness of the performance models are verified through simulation results.
机译：本文研究了IEEE 802.11p增强分布式信道访问（EDCA）机制的性能模型，并开发了性能模型来分析IEEE 802.11p EDCA机制的访问性能。首先构造二维马尔可夫链，以对访问类别（AC）队列的退避过程进行建模，并建立AC队列的传输概率和冲突概率之间的关系。然后，构建一维离散时间马尔可夫链以对AC队列的竞争周期进行建模，并建立AC队列的传输概率和冲突概率之间的另一种关系。与大多数现有工作不同，在模拟饱和和非饱和条件下AC队列的争用期时，一维马尔可夫链被扩展为无限。这两个Markov模型考虑了可能影响IEEE 802.11p EDCA机制的访问性能的所有主要因素，包括饱和条件，标准参数，退避计数器冻结和内部冲突。基于这两个马尔可夫模型，进一步推导了性能模型，分别从传输概率，冲突概率，归一化吞吐量和平均访问延迟方面描述了AC队列参数与AC队列访问性能之间的关系。 。通过仿真结果验证了性能模型的有效性。

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