作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2009, Vol. 35 ›› Issue (13): 105-107,. doi: 10.3969/j.issn.1000-3428.2009.13.036

• 网络与通信 • 上一篇    下一篇

传感器网络中层次簇模型的数据压缩算法

贺智勇1,龙陈锋1,王桐森2,陈治平2   

  1. (1. 湖南农业大学信息科学技术学院,长沙 410128;2. 福建工程学院下一代互联网应用技术研究中心,福州 350014)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-07-05 发布日期:2009-07-05

Data Compression Algorithm of Hierarchical Cluster Model in Sensor Network

HE Zhi-yong1, LONG Chen-feng1, WANG Tong-sen2, CHEN Zhi-ping2   

  1. (1. College of Information Science and Technology, Hunan Agricultural University, Changsha 410128; 2. Next Generation Internet Research Center of Applied Technology, Fujian University of Technology, Fuzhou 350014)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-07-05 Published:2009-07-05

摘要: 提出一种传感器网络中层次簇模型的分布式数据压缩算法。将传感器网络映射成一个层次簇,基于低级簇内节点部署的相对规则性和超级簇内节点部署的相对不规则性,分别采用不同的小波变换模型来进行数据压缩。理论分析和实验仿真结果表明,该算法有较好的逼近性能,能对传感器网络中的数据进行有效压缩,可更大程度地降低传感器网络中的数据传输量,从而进一步延长整个网络的生命周期。

关键词: 传感器网络, 层次簇, 小波变换模型, 数据压缩

Abstract: A new distributed algorithm of data compression of hierarchical cluster model in sensor network is proposed. The whole sensor network is mapped into a hierarchical cluster model, and different wavelet transform models are used to do data compression in inner and super clusters respectively, according to the relative regularity of sensor nodes deployed in the inner clusters, and the relative irregularity of sensor nodes deployed in super cluster. Theoretical analysis and simulation results show that, the new method has good performance of approximation, can compress data and reduce the amount of data efficiently, and prolong the lifetime of the whole sensor network to a greater degree.

Key words: sensor network, hierarchical cluster, wavelet transform model, data compression

中图分类号: