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计算机工程 ›› 2010, Vol. 36 ›› Issue (16): 74-76. doi: 10.3969/j.issn.1000-3428.2010.16.027

• 网络与通信 • 上一篇    下一篇

基于链模型的分布式小波压缩算法

罗文华1,王继良1,2   

  1. (1. 长沙环境保护职业技术学院信息技术系,长沙 410004;2. 湖南大学计算机与通信学院,长沙 410082)
  • 出版日期:2010-08-20 发布日期:2010-08-17
  • 作者简介:罗文华(1959-),男,副教授,主研方向:无线传感器网络;王继良,讲师、硕士
  • 基金资助:
    湖南省自然科学基金资助项目(09JJ3123)

Distributed Wavelet Compression Algorithm Based on Chain Topology

LUO Wen-hua1, WANG Ji-liang1,2   

  1. (1. Department of Information Technology, Changsha Environmental Protection College, Changsha 410004;2. School of Computer and Communication, Hunan University, Changsha 410082)
  • Online:2010-08-20 Published:2010-08-17

摘要: 针对任意支撑长度的小波函数,提出一种基于链模型的分布式数据压缩算法,在数据传送到簇头前去除传感数据的相关性,避免冗余数据的传输。设计一个适合于小波变换的链模型,选择小波系数在链上存放的最佳传感器节点位置,确定进行分布式小波变换的链。基于此链给出一个适合任意支撑长度小波函数的分布式小波压缩算法。从网络耗能和数据重构精度的角度设计模拟实验,验证了算法具有较好的性能。

关键词: 传感器网络, 链模型, 小波压缩

Abstract: Aiming at wavelet function with arbitrary supports, a distributed data compression algorithm based on chain topology is proposed. In this algorithm, the correlation among the data is eliminated before they are transmitting to the cluster head. A chain topology adaptive to wavelet transform is introduced. The position where the wavelet coefficients are stored and the corresponding chain are chosen. A data compression adaptive to wavelet function with arbitrary supports is proposed. From the point of energy consumption and data accuracy, experiment shows that the algorithm functions correctly.

Key words: sensor network, chain topology, wavelet compression

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