Presentation	2011/7/7 SVD-based data compression for Hierarchical Sensor Networks YASUE KISHINO, YASUSHI SAKURAI, TAKUYA MAEKAWA, TAKAYUKI SUYAMA,
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Abstract(in English)	In this paper we propose a data compression method for efficient data gathering in hierarchical sensor networks. The proposed method compresses sensor data sequences by decomposing the data sequences to base sequences and weights using Singular Value Decomposition (SVD). Moreover, we also reduced the computation time of the compression by adopting incremental SVD. We can reduce the amount of sensor data dynamically by repeating the data compression hierarchically. Our experimental result shows the proposed method can reduce the amount of data and error when the level of network topology is high and computational time.
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Committee	USN
Conference Date	2011/7/7(1days)
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Registration To	Ubiquitous and Sensor Networks(USN)
Language	JPN
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Title (in English)	SVD-based data compression for Hierarchical Sensor Networks
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1st Author's Name	YASUE KISHINO
1st Author's Affiliation	NTT Communication Science Laboratories()
2nd Author's Name	YASUSHI SAKURAI
2nd Author's Affiliation	NTT Communication Science Laboratories
3rd Author's Name	TAKUYA MAEKAWA
3rd Author's Affiliation	NTT Communication Science Laboratories
4th Author's Name	TAKAYUKI SUYAMA
4th Author's Affiliation	NTT Communication Science Laboratories
Date	2011/7/7
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Volume (vol)	vol.111
Number (no)	134
Page	pp.pp.-
#Pages	8
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