Sensor Selection in Wireless Sensor Networks for Structural Health Monitoring

Sensor Selection in Wireless Sensor Networks for Structural Health Monitoring

2019 IEEE SENSORS

10.1109/SENSORS43011.2019.8956873

https://doi.org/10.1109/SENSORS43011.2019.8956873

Zhang Pengfei, Teo Keng Boon, Wang Yixin

Wireless Sensor Networks, Sensor selection, Structure Health Monitoring, Gaussian process, Cross-Entropy method

13 January 2020

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.

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.

PublisherCopyrights

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).

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https://oar.a-star.edu.sg/communities-collections/articles/16287

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