Wireless Feature Extraction System for Cloud-Dust Based Intelligent System by Using Embedded Wavelet Packet Method

DOI

10.2991/icibet.2013.45How to use a DOI?

Abstract

In the paper, a wireless feature extraction system for cloud-dust based intelligent system using embedded wavelet packet method is developed. In order to decrease the massive transmission data form re-ceivers and transmitters of wireless sen-sors network, we reduce the data dimen-sions of sensors using embedded feature extraction method. The massive transmission data will be reduced via the process of wavelet packet decomposition and reconstruction. So it decreases the transmission loading of general wireless sensors network. Considering computing time of feature extraction, the circuit hardware of wavelet packet is designed in the paper. It effectively reduces the com-puting time of feature extraction. There-fore, the wireless feature extraction sys-tem using embedded wavelet packet method makes the transmission of wire-less sensors network work effectively. At last, we prove the data reduction of transmission, the shorter computing time of feature extraction and the computing accuracy of wavelet packet hardware by the experiments. It can greatly improve wireless sensors network with large num-ber of nodes more efficient transmission, and the sampling rate of sensors nodes, without causing the transmission delay and data errors. So it will make wireless sensors network more applications with higher precision, higher computing speed, lower power and lower cost in the future.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - ChungChi Huang
AU  - CongHui Huang
AU  - ChungLin Huang
AU  - ChungJui Wu
AU  - ShengFone Yang
PY  - 2013/03
DA  - 2013/03
TI  - Wireless Feature Extraction System for Cloud-Dust Based Intelligent System by Using Embedded Wavelet Packet Method
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 208
EP  - 212
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.45
DO  - 10.2991/icibet.2013.45
ID  - Huang2013/03
ER  -