Time series data aggregation algorithm with synchronous prediction for WBAN

Due to the nonlinearity and nonstationarity of the physiological data sensed by WBAN,data aggregation cannot be effectively achieved according to the time-domain trend of data.Therefore,a novel time series data aggregation algorithm with synchronous prediction was proposed.By preprocessing the origi...

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Main Authors: Ru-yan WANG, Mei-ling ZHAI, Da-peng WU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2015-06-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015147/
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author Ru-yan WANG
Mei-ling ZHAI
Da-peng WU
author_facet Ru-yan WANG
Mei-ling ZHAI
Da-peng WU
author_sort Ru-yan WANG
collection DOAJ
description Due to the nonlinearity and nonstationarity of the physiological data sensed by WBAN,data aggregation cannot be effectively achieved according to the time-domain trend of data.Therefore,a novel time series data aggregation algorithm with synchronous prediction was proposed.By preprocessing the original sensing data with the multi-resolution analysis,the inherent characteristics of the physiological data can be obtained to establish a light-weight synchronous prediction model at both the sensor and sink.Numerical results show that the proposed aggregation algorithm can achieve a favorable prediction precision and a low energy consumption rate by eliminating the in-network data redundancy.
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publisher Editorial Department of Journal on Communications
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spelling doaj-art-8e7fbde13bc348c5a9ceceea5e31e6882025-08-20T02:41:07ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-06-0136132159693352Time series data aggregation algorithm with synchronous prediction for WBANRu-yan WANGMei-ling ZHAIDa-peng WUDue to the nonlinearity and nonstationarity of the physiological data sensed by WBAN,data aggregation cannot be effectively achieved according to the time-domain trend of data.Therefore,a novel time series data aggregation algorithm with synchronous prediction was proposed.By preprocessing the original sensing data with the multi-resolution analysis,the inherent characteristics of the physiological data can be obtained to establish a light-weight synchronous prediction model at both the sensor and sink.Numerical results show that the proposed aggregation algorithm can achieve a favorable prediction precision and a low energy consumption rate by eliminating the in-network data redundancy.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015147/wireless body area networkdata aggregationmulti-resolution analysisLSSVMsynchronous prediction mechanism
spellingShingle Ru-yan WANG
Mei-ling ZHAI
Da-peng WU
Time series data aggregation algorithm with synchronous prediction for WBAN
Tongxin xuebao
wireless body area network
data aggregation
multi-resolution analysis
LSSVM
synchronous prediction mechanism
title Time series data aggregation algorithm with synchronous prediction for WBAN
title_full Time series data aggregation algorithm with synchronous prediction for WBAN
title_fullStr Time series data aggregation algorithm with synchronous prediction for WBAN
title_full_unstemmed Time series data aggregation algorithm with synchronous prediction for WBAN
title_short Time series data aggregation algorithm with synchronous prediction for WBAN
title_sort time series data aggregation algorithm with synchronous prediction for wban
topic wireless body area network
data aggregation
multi-resolution analysis
LSSVM
synchronous prediction mechanism
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015147/
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