关键词: 无线传感器网络, 空间相关性, 数据压缩, 灰色模型

Abstract: As the high computational complexity, low compression efficiency and data recovery rate of current data compression methods of Wireless Sensor Network（WSN）, a WSN data compression method based on a cluster head base station separation structure is proposed. Based on the monolayer cluster structure of WSN, the method requests the terminal sensor node to transmit initial data in segments at first. Then the original WSN data compression method is used to compress the data received by the cluster head nodes. Finally, the grey model is adopted for data recovery at the base station. In addition, the optimal model and segment length of the algorithm are given, through the experimental analysis of the data recovery effect of the grey model and the grey Markov chain model. Experimental results show that, compared with the traditional based linear regression method, the proposed method can significantly improve the accuracy of data recovery at higher compression efficiency.

Key words: wireless sensor networks, spatial correlation, data compression, grey mode