Wireless Sensor Network Microcantilever Data Processing using Principal Component and Correlation Analysis

Viktor Zaharov, Angel Lambertt, Ali Passian

Abstract

One of the main purpose of the wireless sensor network is an identification of unknown physical, chemical and biological agents in monitoring area. It requires the measurement of the microcantilever sensor resonance frequencies with high precision. However, resolving the weak spectral variations in dynamic response of materials that are either dominated or excited by stochastic processes remains a challenge. In this paper we present the analysis and experimental results of the resonant excitation of a microcantilever sensor system (MSS) by the ambient random fluctuations. In our analysis, the dynamic process is decomposed into the bases of orthogonal functions with random coefficients using principal component analysis (PCA) and Karhunen- Lo`eve theorem to obtain pertinent frequency shifts and spectral peaks. We show that using the truncated Karhunen-Lo`eve Transform helps significantly increase the resolution of resonance frequency peaks compared to those obtained with conventional Fourier Transform processing.

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Paper Citation


in Harvard Style

Zaharov V., Lambertt A. and Passian A. (2016). Wireless Sensor Network Microcantilever Data Processing using Principal Component and Correlation Analysis . In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 6: WINSYS, (ICETE 2016) ISBN 978-989-758-196-0, pages 97-105. DOI: 10.5220/0005933200970105


in Bibtex Style

@conference{winsys16,
author={Viktor Zaharov and Angel Lambertt and Ali Passian},
title={Wireless Sensor Network Microcantilever Data Processing using Principal Component and Correlation Analysis},
booktitle={Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 6: WINSYS, (ICETE 2016)},
year={2016},
pages={97-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005933200970105},
isbn={978-989-758-196-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 6: WINSYS, (ICETE 2016)
TI - Wireless Sensor Network Microcantilever Data Processing using Principal Component and Correlation Analysis
SN - 978-989-758-196-0
AU - Zaharov V.
AU - Lambertt A.
AU - Passian A.
PY - 2016
SP - 97
EP - 105
DO - 10.5220/0005933200970105