A Sensor Node Lossless Compression Algorithm for Non-SIowly-Varying Data Based on DMD Transform
efficient utilization of energy is a core area of research in wireless sensor networks. Data compression methods to reduce the number of bits to be transmitted by tbe communication module will significantly reduce the energy requirement and increase the lifetime of the sensor node. Based on the lifting scheme 2-point discrete cosine transform (DCT), this paper proposed a new reversible recursive algorithm named Difference-Median-Difference (DMD) transform for lossless data compression in sensor node. The DMD transform can significantly reduce the spatio-temporal correlations among sensor data and can smoothly run in resource limited sensor nodes. Through an entropy encoder, the results of DMD transform can be compressed more compactly based on their statistical characteristics to achieve compression. Compared with the typical lossless algorithms, the proposed algorithm indicated better compression ratios than others for non-slowly-varying data, despite a less computational effort.
Wireless Sensor Networks Data Compression discrete cosine transform Deference-Median-Deference transform
REN Xuejun LIU Jianping
Engineering College of Chinese Armed Police Force, 710086 Xian, China
国际会议
海口
英文
131-135
2011-02-22（万方平台首次上网日期，不代表论文的发表时间）