Title:
BLIND CALIBRATION METHOD FOR WIRELESS SENSOR NETWORK DATA DRIFT
Document Type and Number:
WIPO Patent Application WO/2020/191980
Kind Code:
A1
Abstract:
Disclosed is a blind calibration method for a wireless sensor network data drift, falling within the technical field of wireless sensor networks. In the method, a data drift of a sensor node is calibrated by means of a method of combining a constraint-based extreme learning machine and a Kalman filter. In the present invention, a node measured value is firstly preprocessed; then, mathematical modeling is carried out on the space-time correlation between a node to be calibrated and a neighboring node by using a constraint extreme learning machine (CELM), so as to obtain a predicted value of a target node; and finally, the predicted value and a measured value of the target node are fed back to a Kalman filter to track and calibrate a data drift thereof. The average mean error between a calibrated value obtained by means of the method and a real value is extremely small, indicating that the method has extremely high model fitting precision and takes less training time. The algorithm complexity is reduced, and the reliability of WSN data is improved.
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Inventors:
LI GUANGHUI (CN)
WU JIAWEN (CN)
WU JIAWEN (CN)
Application Number:
PCT/CN2019/099024
Publication Date:
October 01, 2020
Filing Date:
August 02, 2019
Export Citation:
Assignee:
UNIV JIANGNAN (CN)
International Classes:
G06K9/00; G06N20/00
Foreign References:
| CN109993088A | 2019-07-09 | |||
| CN108536106A | 2018-09-14 | |||
| US20100177708A1 | 2010-07-15 |
Other References:
WU, JIAWEN ET AL.: "GABP-KF-Based Blind Calibration Algorithm of Data Drift in Wireless Sensor Networks", FIRST PUBLISHED PAPERS OF CAAI TRANSACTIONS ON INTELLIGENT SYSTEMS ON THE INTERNET, vol. 14, no. 2, 17 May 2018 (2018-05-17), pages 254 - 262, XP055738328
CHI, JIANNAN ET AL.: "A Novel ELM Based Adaptive Kalman Filter Tracking Algorithm", NEUROCOMPUTING, vol. 128, 15 June 2014 (2014-06-15), pages 42 - 49, XP028821799
WANG, YUZHI ET AL.: "A Deep Learning Approach for Blind Drift Calibration of Sensor Networks", IEEE SENSORS JOURNAL, vol. 17, no. 13, 1 July 2017 (2017-07-01), pages 4158 - 4171, XP011652520
CHI, JIANNAN ET AL.: "A Novel ELM Based Adaptive Kalman Filter Tracking Algorithm", NEUROCOMPUTING, vol. 128, 15 June 2014 (2014-06-15), pages 42 - 49, XP028821799
WANG, YUZHI ET AL.: "A Deep Learning Approach for Blind Drift Calibration of Sensor Networks", IEEE SENSORS JOURNAL, vol. 17, no. 13, 1 July 2017 (2017-07-01), pages 4158 - 4171, XP011652520
Attorney, Agent or Firm:
HARBIN SHINEIP INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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