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竞争窗口调整的方法很大程度上影响无线组网的系统吞吐量,而固定的退避窗口策略不能获得较好的网络性能。文中提出了有退避界限MAC算法,根据算法建立Markov分析模型,推导出退避界限和吞吐量之间的关系;利用扩展的Kalman滤波算法预估接入站点数,自适应调整退避界限。通过Qualnet仿真了数据速率为2 Mbps网络中,在接入站点连续增加和突然增加两种情况下,即网络载荷增大时,自适应MAC算法得到的吞吐量较高并保证了较低的平均端到端时延。
The method of contention window adjustment affects the system throughput of wireless networking to a great extent, while the fixed backoff window strategy can not get better network performance. In this paper, a MAC algorithm with backoff limits is proposed. The Markov analysis model is established based on the algorithm to derive the relationship between backoff limits and throughput. The extended Kalman filter algorithm is used to estimate the number of access sites and adaptively adjust the backoff limits. Through Qualnet simulated the data rate of 2 Mbps network, the access site continuous increase and sudden increase in two cases, that is, when the network load increases, adaptive MAC algorithm to get a higher throughput and ensure a lower average End-to-end delay.