A Difference Fitting Residuals Algorithm for Lossless Data Compression in Wireless Sensor Nodes
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. Through analysis the probability distribution of sensor data and a classic compression algorithm named NOEncoding, this paper proposed a new algorithm specifically designed for lossless data compression in sensor nodes called Difference Fitting Residuals compression algorithm. The proposed algorithm will calculate the linear fitting values of sensor datas differences and then calculate the fitting residuals which will be input to an entropy encoder to achieve data compression. Compared with two typical lossless compression algorithms, the proposed algorithm indicated better compression ratios, despite a less computational effort.
Wireless Sensor Networks Data Compression lossless Difference Fitting residuals.
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
西安
英文
481-485
2011-05-27（万方平台首次上网日期，不代表论文的发表时间）