Quality-Based Multiple-Sensor Fusion in an Industrial Wireless Sensor Network for MCM

By Ondrej Kreibich, Jan Neuzil, R. Smid. 2014

78 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Control and Systems Engineering, Industrial and Manufacturing Engineering

How researchers see this paper

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

In Biomedical Engineering

1. Chau Yuen
2. Laurence Tianruo Yang
3. Athanasios V. Vasilakos
4. Jiafu Wan

In Control and Systems Engineering

1. Chau Yuen
2. Laurence Tianruo Yang
3. Yuren Zhou
4. Meng Zhang
5. Billy Pik Lik Lau
6. U-Xuan Tan
7. Marakkalage Sumudu Hasala
8. Naveed Ul L. Hassan

In Industrial and Manufacturing Engineering

1. Jiafu Wan
2. Shiyong Wang
3. Di Li

Citations in the corpus

• A survey of data fusion in smart city applications (2019, background): “Kreibich et al. [47] and Luo et al. [48] have proposed approaches to improve communication between WSN focusing on the communication mechanism between nodes.”
• A kernel machine-based secure data sensing and fusion scheme in wireless sensor networks for the cyber-physical systems (2016, methodology): “A quality-based multiple-sensor fusion approach was proposed in WSN [17].”
• A review of industrial wireless networks in the context of Industry 4.0 (2015, background): “It is known that a smart industrial wireless node not only contains memory modules, a processor, a power source, RF transceivers, and sensors, but also mechanical parts and related control and communication programs [13, 45].”