A Sensor Node Lossless Compression Algorithm Tailored from H.264 integer DCT 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 the communication module will significantly reduce the energy requirement and increase the lifetime of the sensor node. The discrete cosine transform can significantly reduce the spatio-temporal correlations among input data and then achieve effective compression ratio. However, the original DCT transform algorithm is too complicated to be applied in the sensor nodes. This paper proposes a lossless algorithm, which tailored from H.264 integer DCT transform, particularly suited for memory and computational resource constrained wireless sensor node. The algorithm transforms sensor data to result data which are input to an entropy encoder. The entropy encoder performs compression by encoding result data more compactly based on their statistical characteristics. Compared with the typical lossless algorithm, the purposed algorithm indicated better compression for non-slowly-varying data.
Wireless Sensor Networks Data Compression Integer DCT Transform H.264
REN Xuejun FANG Dingyi CHEN Xiaojiang
School of Information Science and Technology, Northwest University Engineering College of Chinese Ar School of Information Science and Technology, Northwest University Xian, China
国际会议
重庆
英文
168-172
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）