Abstract：Considering spatial and temporal redundancy of data and demand of saving energy in Wireless Sensor Networks (WSN), a One-Dimensional Linear Regression model based Spatial and Temporal(ODLRST) data compression algorithm, is proposed. By eliminating temporal redundancy of data in single node and spatial redundancy of data among nodes respectively in WSN, ODLRST greatly compresses these data. Simulation results show that ODLRST can reduce data size sent by nodes and network traffic in WSN, and save and balance energy consumption in the network.
王雷春; 马传香. 传感器网络中一种基于一元线性回归模型的空时数据压缩算法[J]. 电子与信息学报, 2010, 32(3): 755-758 .
Wang Lei-chun; Ma Chuan-xiang. A One-dimensional Linear Regression Model Based Spatial and Temporal Data Compression Algorithm for Wireless Sensor Networks. , 2010, 32(3): 755-758 .
2010, Vol. 32 
