摘要： 为了提高IEEE 802.11中速率选择机制的性能，提出了一种基于多信道参数数据融合算法的自动速率选择机制，克服了采用单一参数进行信道状态估计的误差和误判。在发送端，将获取到的RSS、CIR和PER信息模糊化，并运用模糊集理论进行模糊推理，形成单一参数对信道质量评估的局部决策，经过融合中心的合成运算和决策规则得到信道质量的全局判决，以此进行最佳发送速率的选择。该算法在NS2网络仿真软件的Ricean信道模型下进行了仿真。仿真结果表明该机制比固定速率和单一参数信道估计机制提高了28.4%和22.2%的平均吞吐量。
关键词:
无线局域网,
数据融合,
速率自动选择,
模糊评判
Abstract: A data fusion algorithm is adopted to enhance the performance of auto rate selection mechanism in IEEE 802.11 based on fuzzy system theory, and with the application of this mechanism, the misjudgement of channel state which estimated by single channel parameter is eliminated. In sender, the received signal strength (RSS) and carrier to interface ration (CIR) and packet error ratio(PER) value that sensors obtain is fuzzed, and each of them is used by fuzzy logic control to make part judgement about the channel quality. The best rate is selected based on the decision which obtained through the synthetic operation and decision rule of the data fusion center. Simulation results show that the mechanism enhances mean throughput performance of IEEE 802. 11 system compared with that presented in the literature. Compared with the fixed transmit rate mechanism, the enhancement reaches 28.4 % , and with the single parameter estimated mechanism, the enhancement reaches 22.2 %.
Key words:
Wireless local area network(WLAN),
Data fusion,
Auto rate selection,
Fuzzy assessment
段中兴;张德运. 多速率无线局域网的速率自适应算法[J]. 计算机工程, 2007, 33(08): 33-35.
DUAN Zhongxing; ZHANG Deyun. Rate Adaptation Algorithm in Multi-rate WLAN[J]. Computer Engineering, 2007, 33(08): 33-35.