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首页> 外文期刊>International journal of ad hoc and ubiquitous computing >Farmland multi-parameter wireless sensor network data compression strategy
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Farmland multi-parameter wireless sensor network data compression strategy

机译：农田多参数无线传感器网络数据压缩策略

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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.
机译：农田无线传感器网络（WSN）监视的参数数据之间存在一定的相关性。分析和利用参数相关性可以提高数据压缩效率并降低网络通信能力。提出了一种多参数农田无线传感器网络的数据压缩算法。首先，基于参数之间的聚类分析和类别之间的内部相关性分析，建立每个聚类的压缩矩阵。然后，基于行与列之间相关性强的结构化矩阵，确定参数排序方案。它对参数序列进行了特征分析。建立参数之间的运算符以增强相关性并减少矩阵的高频分量。通过这样做，可以减少压缩过程中的信息丢失，从而达到提高压缩比和减少压缩误差的目的。压缩测试表明，该算法可以有效降低网络数据冗余和能耗。

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