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Analysis and Research on Performance of Compression Algorithm #br#  Based on Lifting Scheme Wavelet Transform in WSN

  

  1. 1. Institute of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China;

     2. Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China
  • Received:2015-04-14 Online:2015-09-21 Published:2015-09-24

Abstract:

In the design of WSN (Wireless Sensor Network), how to use energy more effectively is the first design goal. Data compression can reduce the amount of data in
the process of transmission, which leads to not only improve the collection efficiency, but also reduce the energy consumption of wireless communication. It is very important
to prolong the life of the network. In the research of the data compression in WSN, compression algorithm based on lifting scheme wavelet transform focuses on computational
complexity and ignores the real energy saving effect when choosing wavelet transform. Aim at this situation, this paper, based on three different types of data as samples,
analyzed all kinds of lifting scheme wavelet transform which is used commonly for data compression and compared the performance of saving energy. The results of validation show
that under the same error tolerance, the 2/6 wavelet has better compression effect and more energy savings compared to the other kinds of wavelet. This makes it more suitable
for the application of data compression in WSN.

Key words:  WSN, data compression, wavelet transform based on lifting scheme, error tolerance, energy consumption