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