Sensor Selection in Wireless Sensor Networks for Structural Health Monitoring

Page view(s)
52
Checked on May 23, 2024
Sensor Selection in Wireless Sensor Networks for Structural Health Monitoring
Title:
Sensor Selection in Wireless Sensor Networks for Structural Health Monitoring
Journal Title:
2019 IEEE SENSORS
Publication Date:
13 January 2020
Citation:
Z. Pengfei, T. K. Boon and W. Yixin, "Sensor Selection in Wireless Sensor Networks for Structural Health Monitoring," 2019 IEEE SENSORS, Montreal, QC, Canada, 2019, pp. 1-4, doi: 10.1109/SENSORS43011.2019.8956873.
Abstract:
We develop a new sensor selection scheme in wireless sensor networks for structure health monitoring (SHM). The sensor selection method is based on cross entropy method. It can help maximize the wireless sensor network lifetime while gurantee the quality of SHM. We model the structure as Gaussian Process distributed and nodes transmit to gateway (GW). Through extensive simulations, we show that our method outperforms the benchmark method which make it suitable for real experiment setting.
License type:
PublisherCopyrights
Funding Info:
This project is supported by the Government Technology Agency of Singapore (GovTech) and the National Research Foundation (NRF) under Translational R&D Grant (TRANS Grant) initiative (NRF2016IDM-TRANS001-062).
Description:
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISSN:
2168-9229
ISBN:
978-1-7281-1634-1
Files uploaded: