多信源无线传感网络带宽时延感知数据汇聚方法

Bandwidth Delay Sensing Data Aggregation Method for Multi source Wireless Sensor Networks

为提高多信源无线传感网络的传输效率,设计了一种多信源无线传感网络带宽时延感知数据汇聚方法。该方法构建三类虚拟队列,并根据带宽时延数据判断阈值进行端到端计算,以针对不同类型的数据流计算相应的带宽时延阈值。使用卡方拟合检验方法对当前时延感知数据的信任度进行判定,在此基础上排除异常或偏离分布模型的数据样本。对高卡方统计量的数据进行压缩或信息提取,并通过聚类权值实现感知数据汇聚。仿真结果显示,该方法在高斯噪声或莱斯噪声环境下,能将传输时延控制在50 ms以内,网络带宽数据汇聚结果较高,且网络数据传输耗能低于100 J。这表明多信源无线传感网络带宽时延感知数据汇聚可减少传输时间和资源浪费。

To improve the transmission efficiency of multi-source wireless sensor networks,a bandwidth delay sensing data aggregation method for multi-source wireless sensor networks is designed.Three types of virtual queues are constructed and thresholds are determined based on bandwidth delay data to perform end-to-end calculation,so as choose corresponding bandwidth delay thresholds for different types of data streams.The chi square fitting test method is used to determine the trust level of the current delay perception data,and based on this,data samples that are abnormal or deviate from the distribution model are excluded.Information is compressed and extracted from data with high chi square statistics,and perceptual data aggregation is achieved through clustering weights.The simulation results show that the proposed method can control the transmission delay within 50 ms in Gaussian or Ricean noise environments,with high network bandwidth data aggregation results,and the network data transmission energy consumption is below 100 J,indicating that bandwidth delay aware data aggregation in multi-source wireless sensor networks can reduce transmission time and resource waste.