Collaborative probability based multimodel target identification in wireless sensor networks

A collaborative probability based multimodel target identification method for the applications in wireless sen-sor networks was proposed.Wavelet package was used to extract the features of the target information sample,and in or-der to decrease the computing complexity and reserve the key informatio...

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Main Authors: SUN Xin-yao, WANG Xue, WANG Sheng
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2011-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74421214/
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author SUN Xin-yao
WANG Xue
WANG Sheng
author_facet SUN Xin-yao
WANG Xue
WANG Sheng
author_sort SUN Xin-yao
collection DOAJ
description A collaborative probability based multimodel target identification method for the applications in wireless sen-sor networks was proposed.Wavelet package was used to extract the features of the target information sample,and in or-der to decrease the computing complexity and reserve the key information as well,feature compaction,which achieved by principal components analysis,was carried out before learning.Different types of Gaussian classifier were developed for classifier learning.To gain global optimal results,committee decision was employed to select and combine individual decisions with dynamically adjusted weights.The experiment results verified that the method introduced can adapt to the interference factor of the environment and can implement target identification accurately and stably.
format Article
id doaj-art-cb8316fbe7854d7a8b2bf170eccc3135
institution Kabale University
issn 1000-436X
language zho
publishDate 2011-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-cb8316fbe7854d7a8b2bf170eccc31352025-01-14T08:23:13ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-013214114774421214Collaborative probability based multimodel target identification in wireless sensor networksSUN Xin-yaoWANG XueWANG ShengA collaborative probability based multimodel target identification method for the applications in wireless sen-sor networks was proposed.Wavelet package was used to extract the features of the target information sample,and in or-der to decrease the computing complexity and reserve the key information as well,feature compaction,which achieved by principal components analysis,was carried out before learning.Different types of Gaussian classifier were developed for classifier learning.To gain global optimal results,committee decision was employed to select and combine individual decisions with dynamically adjusted weights.The experiment results verified that the method introduced can adapt to the interference factor of the environment and can implement target identification accurately and stably.http://www.joconline.com.cn/zh/article/74421214/wireless sensor networkscollaborative probabilitymultimodel target identificationGaussian process classifier
spellingShingle SUN Xin-yao
WANG Xue
WANG Sheng
Collaborative probability based multimodel target identification in wireless sensor networks
Tongxin xuebao
wireless sensor networks
collaborative probability
multimodel target identification
Gaussian process classifier
title Collaborative probability based multimodel target identification in wireless sensor networks
title_full Collaborative probability based multimodel target identification in wireless sensor networks
title_fullStr Collaborative probability based multimodel target identification in wireless sensor networks
title_full_unstemmed Collaborative probability based multimodel target identification in wireless sensor networks
title_short Collaborative probability based multimodel target identification in wireless sensor networks
title_sort collaborative probability based multimodel target identification in wireless sensor networks
topic wireless sensor networks
collaborative probability
multimodel target identification
Gaussian process classifier
url http://www.joconline.com.cn/zh/article/74421214/
work_keys_str_mv AT sunxinyao collaborativeprobabilitybasedmultimodeltargetidentificationinwirelesssensornetworks
AT wangxue collaborativeprobabilitybasedmultimodeltargetidentificationinwirelesssensornetworks
AT wangsheng collaborativeprobabilitybasedmultimodeltargetidentificationinwirelesssensornetworks