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| A One-dimensional Linear Regression Model Based Spatial and Temporal Data Compression Algorithm for Wireless Sensor Networks |
| Wang Lei-chun; Ma Chuan-xiang |
| School of Mathematics & Computer Science, Hubei University, Wuhan 430062, China |
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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.
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Received: 12 May 2009
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Corresponding Authors:
Wang Lei-chun
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2010, Vol. 32 
