摘要
针对无线传感器网络中数据压缩的问题,提出了一个基于时空相关性和Huffman编码的数据压缩算法,并在传输的比特数和压缩比方面与静态Huffman方法进行了比较。实验结果表明,所提出的算法执行效果更好。
The main problem in wireless sensor networks （WSN） is a limited supply of resource. Since data transmission is the biggest resource consumption, many studies have turned to reduce the amount of bits transmitted concern. The solution includes data compression. This paper proposes a dynamic algorithm based on adaptive dictionary. The algorithm uses the data associated with the occurrence time and Huffman compression. Experimental evidence for a high degree of efficiency of its data.
出处
《重庆理工大学学报（自然科学）》
CAS
2013年第2期84-88,92,共6页
Journal of Chongqing University of Technology：Natural Science
关键词
无线传感器网络
节能
数据压缩
霍夫曼编码
wireless sensor network
energy saving
data compression
Huffman coding
