Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey

By Adam Noel, Abderrazak Abdaoui, Tarek M. Elfouly, Mohamed Hossam Ahmed, A. Badawy, Mohamed S. Shehata. IEEE Communications Surveys and Tutorials, 2017

423 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Electrical and Electronic Engineering, Pollution

View Paper: https://www.semanticscholar.org/paper/3a6a1312f7eb8e60447d9a0d000b44a2456e6458

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Arman Malekloo
2. Mark A. Girolami
3. Ekin Ozer
4. Mohammad AlHamaydeh

In Electrical and Electronic Engineering

1. M. F. A. Rasid
2. Khairulmizam Samsudin
3. Fakhrul Zaman Rokhani
4. Mark A. Girolami
5. Mohammed Abdulkarem

Citations in the corpus

• Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction (2019, methodology): “Moreover, software-based time synchronization approach can be broadly categorized into the following three classes in terms of message direction: Sender–receiver, Receiver–receiver, and Receiveronly approach.142,145,146 The classification for TSE correction techniques deduced from Noel et al.16 and ”
• Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights (2021, background): “Noel et al. 21 and Arcadius Tokognon et al. 22 provided a general review of SHM in the context of wireless sensor networks (WSNs) and IoT, respectively.”