The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Les recherches précédentes sur la surveillance des véhicules sur les réseaux de capteurs distribués se sont concentrées sur le dépassement des limitations de puissance et des contraintes de bande passante de communication dans le nœud de capteur. Malgré ces contraintes, le nœud de capteur de surveillance des véhicules doit disposer d'une compression du signal, d'une extraction de caractéristiques, d'une localisation de cible, d'une suppression du bruit et d'un traitement collaboratif du signal avec une faible dissipation d'énergie de calcul et de communication. Dans cet article, nous introduisons un algorithme de traitement du signal de nœud de capteur sans fil léger basé sur l'extraction de caractéristiques d'analyse d'ondelettes de schéma de levage dans un réseau de capteurs distribués.
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Daehyun CHA, Chansik HWANG, "LWT Based Sensor Node Signal Processing in Vehicle Surveillance Distributed Sensor Network" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 4, pp. 720-723, April 2010, doi: 10.1587/transfun.E93.A.720.
Abstract: Previous vehicle surveillance researches on distributed sensor network focused on overcoming power limitation and communication bandwidth constraints in sensor node. In spite of this constraints, vehicle surveillance sensor node must have signal compression, feature extraction, target localization, noise cancellation and collaborative signal processing with low computation and communication energy dissipation. In this paper, we introduce an algorithm for light-weight wireless sensor node signal processing based on lifting scheme wavelet analysis feature extraction in distributed sensor network.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.720/_p
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@ARTICLE{e93-a_4_720,
author={Daehyun CHA, Chansik HWANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={LWT Based Sensor Node Signal Processing in Vehicle Surveillance Distributed Sensor Network},
year={2010},
volume={E93-A},
number={4},
pages={720-723},
abstract={Previous vehicle surveillance researches on distributed sensor network focused on overcoming power limitation and communication bandwidth constraints in sensor node. In spite of this constraints, vehicle surveillance sensor node must have signal compression, feature extraction, target localization, noise cancellation and collaborative signal processing with low computation and communication energy dissipation. In this paper, we introduce an algorithm for light-weight wireless sensor node signal processing based on lifting scheme wavelet analysis feature extraction in distributed sensor network.},
keywords={},
doi={10.1587/transfun.E93.A.720},
ISSN={1745-1337},
month={April},}
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TY - JOUR
TI - LWT Based Sensor Node Signal Processing in Vehicle Surveillance Distributed Sensor Network
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 720
EP - 723
AU - Daehyun CHA
AU - Chansik HWANG
PY - 2010
DO - 10.1587/transfun.E93.A.720
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2010
AB - Previous vehicle surveillance researches on distributed sensor network focused on overcoming power limitation and communication bandwidth constraints in sensor node. In spite of this constraints, vehicle surveillance sensor node must have signal compression, feature extraction, target localization, noise cancellation and collaborative signal processing with low computation and communication energy dissipation. In this paper, we introduce an algorithm for light-weight wireless sensor node signal processing based on lifting scheme wavelet analysis feature extraction in distributed sensor network.
ER -