Research on new lossless data compression algorithm for WSNs

DENG Hong-gui1; WANG Jin-xiu1; CAO Li-ling2; ZHU Zhi-jing1; OUYANG Zhi1

doi:10.13873/j.1000-97872008.11.009

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Research on new lossless data compression algorithm for WSNs

更新时间：2025-09-11

- Research on new lossless data compression algorithm for WSNs
- Vol. 27, Issue 11, Pages: 60-62+65(2008)
- 作者机构：
  
  1. 中南大学物理科学与技术学院
  2. 上海海洋大学工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872008.11.009
  CLC： TP391.41
- Published：2008
- 稿件说明：
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[1]邓宏贵,王晋秀,曹莉凌,朱芝靖,欧阳志.一种适合于传感器网络的新型压缩算法研究[J].传感器与微系统,2008,27(11):60-62+65.

DENG Hong-gui1, WANG Jin-xiu1, CAO Li-ling2, et al. Research on new lossless data compression algorithm for WSNs[J]. 2008, 27(11): 60-62+65.
[1]邓宏贵,王晋秀,曹莉凌,朱芝靖,欧阳志.一种适合于传感器网络的新型压缩算法研究[J].传感器与微系统,2008,27(11):60-62+65. DOI： 10.13873/j.1000-97872008.11.009.

DENG Hong-gui1, WANG Jin-xiu1, CAO Li-ling2, et al. Research on new lossless data compression algorithm for WSNs[J]. 2008, 27(11): 60-62+65. DOI： 10.13873/j.1000-97872008.11.009.

摘要

数据压缩可以高效节约网络能量

有效延长网络寿命。针对B-LZW算法的缺陷

提出了一种新型的可以直接应用于传感器网络的改进算法—MC-B-LZW;在设计中引入了miniCache

完善了算法的操作性

可使该算法嵌入到现有的各类传感节点中;测试B-LZW及其改进算法MC8

MC16

MC32和MC64的性能;通过比较压缩率和执行时间2个指标

得出结论:MC16算法性能最优

压缩率较B-LZW平均提高13.6%

执行时间较B-LZW几乎没有延长

是一种比较理想的压缩算法。

Abstract

Data compression can effectly save energy of network and prolong its life.Aimed at the defect of B-LZW algorithm

a modified compression algorithm for sensor nexworks—MC-B-LZW is introduced.The algorithm is enabled to be embedded in existing sensor network nodes by adding an miniCache module perfecting its maneuverability;test of the performance index for B-LZW and MC8

MC16

MC32

MC64 improved algorithms is accomplished.It is concluded that MC16 performs well in almost all the datasets with increased data compression ratio of average 13.6% and no time cost.

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Keywords

references

基于BWT改进的LZW算法在传感器网络中的应用 [J]. 邓宏贵,王晋秀,曹莉凌,朱芝靖,陈良款. 传感技术学报 . 2008(06)

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