Concept of bounded error to improve wireless sensor network data compression

In wireless sensor networks (WSNs), energy consumption remains one of the major limitations of this technology. Since WSN costs lot of energy to transmit data from node to node, it is reasonable to reduce power consumption by reducing data transfer. In our previous research, D-BEDCA uses bounded-err...

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Bibliographic Details
Main Authors: Che-Lung Lin, Jui-Hua Tsai, Yu-Hsien Chu, Ray-I Chang
Format: Conference Proceeding
Language:English
Subjects:
bounded-error
Correlation
data compression
data correlation
Educational institutions
Huffman coding
Power demand
spatial correlation
temporal correlation
Tin
wireless sensor network (WSN)
Wireless sensor networks
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Summary:In wireless sensor networks (WSNs), energy consumption remains one of the major limitations of this technology. Since WSN costs lot of energy to transmit data from node to node, it is reasonable to reduce power consumption by reducing data transfer. In our previous research, D-BEDCA uses bounded-error data compression to compress data and keep the data distortion in certain range at the same time. However, it has some shortages. In this paper, IBEC is proposed to improve both the temporal correlation compression and the data correlation compression in D-BEDCA. We also design a new spatial correlation compression scheme for IBEC.
ISSN:1930-0395
2168-9229
DOI:10.1109/ICSENS.2014.6985234