Research on model of distributed data aggregation in WSN based on wavelet transform

Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (22): 97-101.

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Research on model of distributed data aggregation in WSN based on wavelet transform

DANG Xiaochao1，2, GAO Qi1, HAO Zhanjun1，2

1.College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China
2.Gansu Province Internet of Things Engineering Research Center, Lanzhou 730070, China

Online:2014-11-15 Published:2014-11-13

基于小波变换的分布式WSN数据融合模型研究

党小超1，2，高琪1，郝占军1，2

1.西北师范大学计算机科学与工程学院，兰州 730070
2.甘肃省物联网工程研究中心，兰州 730070

Abstract

Abstract: For the problems of hardware and energy of wireless sensor, the article puts forward a model of distributed data aggregation in WSN based on wavelet transform（DDA-WT）. The model improves the original loop structure, adds the data detection procedure to reduce the amount of sensory data, which also exploits the lifting scheme to process the data matrix from nodes of ring topology in order to low the complexity of transport the fused data. The simulation results confirm the DDA-WT can low the energy consumption of nodes and prolong the lifetime of network.

Key words: Wireless Sensor Network（WSN）, wavelet transform, lifting scheme, data detection, data aggregation

摘要： 针对无线传感器网络节点硬件、能量受限问题，分析现有数据融合方法，提出一种基于小波变换的分布式WSN数据融合模型，该模型对现有环结构模型进行改进，并加入数据验证环节，策略性地减少传输的数据量，并利用小波提升方案对数据进行融合处理，降低数据表示和传输的复杂度。通过仿真实验，证明了DDA-WT算法能有效降低网络节点的能耗，延长整体网络的生存期。

关键词: 无线传感器网络, 小波变换, 提升方案, 数据验证, 数据融合

DANG Xiaochao1，2, GAO Qi1, HAO Zhanjun1，2. Research on model of distributed data aggregation in WSN based on wavelet transform[J]. Computer Engineering and Applications, 2014, 50(22): 97-101.

党小超1，2，高琪1，郝占军1，2. 基于小波变换的分布式WSN数据融合模型研究[J]. 计算机工程与应用, 2014, 50(22): 97-101.

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Research on model of distributed data aggregation in WSN based on wavelet transform

基于小波变换的分布式WSN数据融合模型研究

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