您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Farmland multi-parameter wireless sensor network data compression strategy

文献类型： 外文期刊

作者： Li, Feifei 1 ; Zhu, Huaji 1 ; Wu, Huarui 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China; Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China; Key Labs Informat Technol Agr, Beijing 100097, Peoples R China

关键词： WSN; wireless sensor network; data compression; correlation between parameters; wavelet transform

期刊名称：INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING （ 影响因子：0.654； 五年影响因子：0.613 ）

ISSN： 1743-8225

年卷期： 2018 年 29 卷 3 期

页码：

收录情况： SCI

摘要： A certain correlation exists among farmland wireless sensor network (WSN) monitored parameter data. Analysing and utilising parameter correlation can improve data compression efficiency and reduce network communication power. A data compression algorithm for multi-parameter farmland WSN is proposed. Firstly, a compression matrix of each cluster is built up based on clustering analysis among parameters and internal correlation analysis between categories. Then the parameter sorting scheme is determined based on the structured matrix which had strong correlation among rows and columns. It conducted characteristic analysis of parameter sequences. Operators between parameters are built in order to enhance the correlation and reduce high-frequency component of the matrix. By doing these the information loss during compression process could be reduced, and realised the goals of elevating compression ratio and reducing compression errors. Compression test shows that the proposed algorithm can effectively reduce network data redundancy and energy consumption.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台