Time series data aggregation algorithm with synchronous prediction for WBAN

Ru-yan WANG; Mei-ling ZHAI; Da-peng WU

doi:10.11959/j.issn.1000-436x.2015147

您当前的位置：

首页 >

文章列表页 >

Time series data aggregation algorithm with synchronous prediction for WBAN

Academic paper | 更新时间：2024-06-05

- Time series data aggregation algorithm with synchronous prediction for WBAN
- Journal on Communications Vol. 36, Issue 6, Pages: 13-21(2015)
- 作者机构：
  
  重庆邮电大学宽带泛在接入技术研究所，重庆 400065
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61371097);The Natural Science Foundation of Chongqing(cstc2013jjB40001);The Natural Science Foundation of Chongqing(cstc2013jjB40006);The Foundation of Chongqing University of Posts and Telecommunication(A2012-93);Youth Talents Training Project of Chongqing Science ＆ Technology Commission(CSTC2014KJRC-QNRC40001)
- DOI：10.11959/j.issn.1000-436x.2015147
  CLC： TP393
- Online First：2015-06，
  
  Published：25 June 2015
- 稿件说明：
移动端阅览
Ru-yan WANG, Mei-ling ZHAI, Da-peng WU. Time series data aggregation algorithm with synchronous prediction for WBAN[J]. Journal on Communications, 2015, 36(6): 13-21.
DOI：

Ru-yan WANG, Mei-ling ZHAI, Da-peng WU. Time series data aggregation algorithm with synchronous prediction for WBAN[J]. Journal on Communications, 2015, 36(6): 13-21. DOI： 10.11959/j.issn.1000-436x.2015147.

摘要

提出一种带有同步预测的时序数据融合算法，利用多分辨率分析特性对采集的原始数据进行预处理，挖掘反映人体生理状态的本质特征，进而采用同步预测机制在感知节点和汇聚节点处分别建立轻量级预测模型，消除网内冗余数据的传输以降低能耗。结果表明所提出的融合算法具有较高的预测精度，能够实现低开销的无线体域网时序数据融合。

Abstract

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.

关键词

Keywords

references

ANZAI D , KATSU K,CHAVEZ-SANTIAGO R , et al . Experimental evaluation of implant UWB-IR transmission with living animal for body area networks [J ] . IEEE Transactions on Microwave Theory and Techniques , 2014 , 62 ( 1 ): 183 - 192 .

IMTIAZ S A , CASSON A,RODRIGUEZ-VILLEGAS E . Compression in wearable sensor nodes:impacts of node topology [J ] . IEEE Transactions on Bio-medical Engineering , 2014 , 61 ( 4 ): 1080 - 1090 .

PANTELOPOULOS A , BOURBAKIS N G . Prognosis—a wearable health-monitoring system for people at risk:methodology and modeling [J ] . IEEE Transactions on Information Technology in Biomedicine , 2010 , 14 ( 3 ): 613 - 621 .

JUNNILA S , KAILANTO H , MERILAHTI J , et al . Wireless,multipurpose in-home health monitoring platform:two case trials [J ] . IEEE Transactions on Information Technology in Biomedicine , 2010 , 14 ( 2 ): 447 - 455 .

CORCHADO J M , BAJO J , TAPIA D I , et al . Using heterogeneous wireless sensor networks in a telemonitoring system for healthcare [J ] . IEEE Transactions on Information Technology in Biomedicine , 2010 , 14 ( 2 ): 234 - 240 .

CHENG S H , HUANG C Y . Coloring-based inter-WBAN scheduling for mobile wireless body area networks [J ] . IEEE Transactions on Parallel and Distributed Systems , 2013 , 24 ( 2 ): 250 - 259 .

GHASEMZADEH H , JAFARI R . Physical movement monitoring using body sensor networks:a phonological approach to construct spatial decision trees [J ] . IEEE Transactions on Industrial Informatics , 2011 , 7 ( 1 ): 66 - 77 .

BÄCHLIN M,TRÖSTER G . Swimming performance and technique evaluation with wearable acceleration sensors [J ] . Pervasive and Mobile Computing , 2012 , 8 ( 1 ): 68 - 81 .

WANG W , WANG C , ZHAO M . Resource optimized TTSH-URA for multimedia stream authentication in swallowable-capsule based wireless body sensor networks [J ] . IEEE Journal of Biomedical and Health Informatics , 18 ( 2 ): 404 - 410 .

ALI K A , MOUFTAH H T . Wireless personal area networks architecture and protocols for multimedia applications [J ] . Ad Hoc Networks , 2011 , 9 ( 4 ): 675 - 686 .

KIMURA N , LATIFI S . A survey on data compression in wireless sensor networks [A ] . International Conference on Information Technology:Coding and Computing [C ] . Las Vegas,Nevada,USA : IEEE Press , 2005 . 8 - 13 .

刘浩 , 李伟民 , 李晓丽 . 无线体征监测系统的低功耗调度方法 [J ] . 计算机应用 , 2012 , 32 ( 3 ): 839 - 842 .

LIU H , LI W M , LI X L . Low-power scheduling scheme for wireless physiological monitoring system [J].Journal of Computer Applications , 2012 , 32 ( 3 ): 839 - 842 .

HUANG X , SHAN H , SHEN X . On energy efficiency of cooperative communications in wireless body area network [A ] . Wireless Communications and Networking Conference (WCNC) [C ] . 2011 . 1097 - 1101 .

YUAN F , ZHAN Y , WANG Y . Data density correlation degree clustering method for data aggregation in WSN [J ] . IEEE Sensors Journal , 2014 , 14 ( 4 ): 1089 - 1098 .

ROY S , CONTI M , SETIA S , et al . Secure data aggregation in wireless sensor networks:filtering out the attacker’s impact [J ] . IEEE Transactions on Information Forensics and Security , 2014 , 9 ( 4 ): 681 - 694 .

WANG Z , JIANG M , HU Y , et al . An incremental learning method based on probabilistic neural networks and adjustable fuzzy clustering for human activity recognition by using wearable sensors [J ] . IEEE Transactions on Information Technology in Biomedicine , 2012 , 16 ( 4 ): 691 - 699 .

SEBBAK F , CHIBANI A , AMIRAT Y , et al . An evidential fusion approach for activity recognition in ambient intelligence environments [J ] . Robotics and Autonomous Systems , 2013 , 61 ( 11 ): 1235 - 1245 .

FORTINO G , GALZARANO S , GRAVINA R , et al . A framework for collaborative computing and multi-sensor data fusion in body sensor networks [EB/OL ] . http://www.researchgat.net/publication/261373973 http://www.researchgat.net/publication/261373973

GHASEMZADEH H , JAFARI R . Data aggregation in body sensor networks:A power optimization technique for collaborative signal processing [A ] . The 7th Annual IEEE Communications Society Conference on Sensor Mesh and Ad Hoc Communications and Networks (SECON) [C ] . 2010 . 1 - 9 .

回春立 , 崔莉 . 无线传感器网络中基于预测的时域数据融合技术 [J ] . 计算机工程与应用 , 2007 , 43 ( 21 ): 121 - 125 .

HUI C L , CUI L . Forecast-based temporal aggregation in wireless sensor networks [J ] . Computer Engineering and Applications , 2007 , 43 ( 21 ): 121 - 125 .

KANG J , TANG L , ZUO X , et al . GMSVM-based prediction for temporal data aggregation in sensor networks [A ] . Wireless Communications,Networking and Mobile Computing,WiCom'09 5th International Conference on [C ] . 2009 . 1 - 4 .

宫继兵 , 王睿 , 崔莉 . 体域网 BSN 的研究进展及面临的挑战 [J ] . 计算机研究与发展 , 2010 ( 5 ): 737 - 753 .

GONG J B , WANG R , CUI L . Research advances and challenges of body sensor network(BSN) [J ] . Journal of Computer Research and Development , 2010 ( 5 ): 737 - 753 .

CHENG F H , CHEN Y L . Real time multiple objects tracking and identification based on discrete wavelet transform [J ] . Pattern Recognition , 2006 , 39 ( 6 ): 1126 - 1139 .

BANERJEE T P , DAS S . Multi-sensor data fusion using support vector machine for motor fault detection [J ] . Information Sciences , 2012 , 217 : 96 - 107 .

MOSHOU D , PANTAZI X E , KATERIS D , et al . Water stress detection based on optical multisensor fusion with a least squares support vector machine classifier [J ] . Biosystems Engineering , 2014 , 117 : 15 - 22 .

WEI G , LING Y , GUO B , et al . Prediction-based data aggregation in wireless sensor networks:combining grey model and Kalman filter [J ] . Computer Communications , 2011 , 34 ( 6 ): 793 - 802 .

Views

1627

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Joint optimization strategy of age of information and energy consumption for offloading and scheduling in WBAN

Efficient revocable certificateless remote anonymous authentication protocol for wireless body area network

Data sharing scheme supporting secure outsourced computation in wireless body area network

Conditional privacy-protection remote user authentication mechanism for WBAN

Data aggregation scheduling algorithm based on twice maximum independent set

Related Author

LI Zhangyong

LIN Jinzhao

BAI Tong

XIE Xin

ZHANG Zheng

Miaomiao TIAN

Hong ZHONG

Hongli FAN

Related Institution

School of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications

School of Automation, Chongqing University of Posts and Telecommunications

Chongqing Key Laboratory of Optoelectronic Information Sensing and Microsystems, Chongqing University of Posts and Telecommunications

School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications

School of Computer Science and Technology, Anhui University

AI问答

⁰