DISTY: Dynamic Stochastic Time Synchronization for Wireless Sensor Networks

被引：30

作者：

Masood, Wasif ^{[1
]}

Schmidt, Jorge F. ^{[1
]}

Brandner, Guenther ^{[1
,2
]}

Bettstetter, Christian ^{[1
,3
]}

机构：

[1] Univ Klagenfurt, Inst Networked & Embedded Syst, A-9020 Klagenfurt, Austria

[2] Karntner Elekt Aktiengesell, A-9020 Klagenfurt, Austria

[3] Lakeside Labs GmbH, A-9020 Klagenfurt, Austria

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2017年 / 13卷 / 03期

关键词：

Autoregressive integrated moving average (ARIMA); Box-Jenkins time series methodology; dynamic stochastic model (DSM); forecasting; sensor networks; synchronization; CLOCK SYNCHRONIZATION;

D O I：

10.1109/TII.2016.2618348

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A time synchronization technique for networked devices with low-precision oscillators and low computational power is proposed and evaluated. We apply a dynamic stochastic model inserted into a Kalman filter formulation to track the clock evolution of oscillators and achieve synchrony to a central time reference. Indoor and outdoor experiments performed with commercially available wireless sensor platforms over several days serve as a proof of concept and show the synchronization accuracy under stable and varying temperature conditions.

引用

页码：1421 / 1429

页数：9

共 23 条

[1]

[Anonymous], 2004, Proceedings of International Conference on Embedded Networked Sensor Systems (Sensys), DOI DOI 10.1145/1031495.1031501

[2]

[Anonymous], 2008, SPEC75 HCF

[3]

[Anonymous], 2012, 802154E2012 IEEE

[4]

Boano CA, 2014, PROCEEDINGS OF THE 13TH INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN' 14), P95, DOI 10.1109/IPSN.2014.6846744

[5] ANALYSIS OF CLOSED-LOOP DYNAMIC-STOCHASTIC SYSTEMS [J].

BOX, GEP ;

MACGREGO.JF .

TECHNOMETRICS, 1974, 16 (03) :391-398

[6] Time synchronization methods for wireless sensor networks: A survey [J].

Faizulkhakov, Ya. R. .

PROGRAMMING AND COMPUTER SOFTWARE, 2007, 33 (04) :214-226

[7] ACES: Adaptive Clock Estimation and Synchronization Using Kalman Filtering [J].

Hamilton, Benjamin R. ;

Ma, Xiaoli ;

Zhao, Qi ;

Xu, Jun .

MOBICOM'08: PROCEEDINGS OF THE FOURTEENTH ACM INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING, 2008, :152-+

[8]

Hamilton JamesD., 1994, Time series analysis, P372

[9]

HANNAN EJ, 1982, BIOMETRIKA, V69, P81, DOI 10.1093/biomet/69.1.81

[10] Tracking Low-Precision Clocks With Time-Varying Drifts Using Kalman Filtering [J].

Kim, Hayang ;

Ma, Xiaoli ;

Hamilton, Benjamin Russell .

IEEE-ACM TRANSACTIONS ON NETWORKING, 2012, 20 (01) :257-270

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