一种应用于无线传感器网络的数据压缩方法

A data compression algorithm in wireless sensor networks

在无线传感器网络中通信消耗了节点绝大部分能量,如何有效减少网络中的通信量是无线传感器网络节能研究的方向之一.无线传感器中的感知数据具有数据量大、冗余度高的特点,考虑数据压缩能有效去除冗余数据,提出一种最长直线近似表示的有损压缩算法与经典霍夫曼算法相结合的改进压缩算法.实验结果表明:组合压缩算法能得到更高的压缩率.

In wireless sensor network, communication will consume the most of node energy, how to effectively reduce the amount of communication is one of the directions in the wireless sensor network energy efficiency research. Aiming at sensing data with features of massive data, large redundancy, and the method of data compression can effectively remove redundant data and reduce the amount of data transmission in network. This paper designed animproved compression algorithm, which combines the lossy compression based on the longest straight line approximation with the classic Huffman algorithm. Experimental results show that this combination of compression algorithms can get a higher compression ratio.