Data Compression Algorithm Based on Hierarchical Cluster Model for Sensor Networks

A new distributed algorithm of data compression based on hierarchical cluster model for sensor networks is proposed, in which, the whole sensor network is mapped into a kind of hierarchical clusters model firstly, and then different wavelet transform models are used to commit data compression in inn...

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Bibliographic Details
Main Authors: Tongsen Wang, Lei Wang, Zhijun Xie, Ronghua Yang
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Analytical models
Clustering algorithms
Computer applications
Data compression
Distributed algorithms
Energy consumption
Hierarchical cluster model
Hypercubes
Performance analysis
Sensor networks
Sensor phenomena and characterization
Wavelet transformation
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Summary:A new distributed algorithm of data compression based on hierarchical cluster model for sensor networks is proposed, in which, the whole sensor network is mapped into a kind of hierarchical clusters model firstly, and then different wavelet transform models are used to commit data compression in inner and super clusters respectively. Theoretical analyses and simulation results show that, the above new methods have good performance of approximation, and can compress data and reduce the amount of data efficiently.
ISSN:2153-1447
DOI:10.1109/FGCN.2008.96