A One-dimensional Linear Regression Model Based Spatial and Temporal Data Compression Algorithm for Wireless Sensor Networks

2010 ◽  
Vol 32 (3) ◽  
pp. 755-758 ◽  
Author(s):  
Lei-chun Wang ◽  
Chuan-xiang Ma
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Linear Regression ◽  
Regression Model ◽  
Data Compression ◽  
Linear Regression Model ◽  
Compression Algorithm ◽  
Wireless Sensor ◽  
Temporal Data ◽  
One Dimensional

A Lossless Data Compression Algorithm for Wireless Sensor Networks Based on Linear Regression Model

2011 ◽  
Vol 403-408 ◽  
pp. 2441-2444
Author(s):  
Hong Zhi Lu ◽  
Xue Jun Ren
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Data Compression ◽  
Linear Regression Model ◽  
Compression Algorithm ◽  
Sensor Data ◽  
Simple Linear Regression ◽  
Compression Algorithms ◽  
One Dimensional ◽  
Lossless Data Compression

According to the theory of simple linear regression model, this paper designed a lossless sensor data compression algorithm based on one-dimensional linear regression model. The algorithm computes the linear fitting values of sensor data’s differences and fitting residuals, which are input to a normal distribution entropy encoder to perform compression. Compared with two typical lossless compression algorithms, the proposed algorithm indicated better compression ratios.

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