Design and Implementation of ZigBee-Based WSN Experiment Platform

Jun-bo, Xia

doi:10.1109/icsgea.2016.82

Cited by 2 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Experiment A was a point-to-point mode with four SNs, B was a mesh mode with ten SNs, and C was an end-to-end mode with four SNs. Transmission distances of experimental B and C between the SNs do not exceed 15 m. The experiments were consistent with the previous research architecture [19,20]. Experiment A: This experiment mainly tests the relationship between the transmission distance of a single sensing point and the stability of data transmission.…”

Section: Methodssupporting

confidence: 83%

Development of a Wireless Mesh Sensing System with High-Sensitivity LiNbO3 Vibration Sensors for Robotic Arm Monitoring

Lin

Jen

et al. 2019

Sensors

View full text Add to dashboard Cite

In recent years, multi-axis robots are indispensable in automated factories due to the rapid development of Industry 4.0. Many related processes were required to have the increasing demand for accuracy, reproducibility, and abnormal detection. The monitoring function and immediate feedback for correction is more and more important. This present study integrated a highly sensitive lithium niobate (LiNbO3) vibration sensor as a sensor node (SN) and architecture of wireless mesh network (WMN) to develop a monitoring system (MS) for the robotic arm. The advantages of the thin-film LiNbO3 piezoelectric sensor were low-cost, high-sensitivity and good electrical compatibility. The experimental results obtained from the vibration platform show that the sensitivity achieved 50 mV/g and the reaction time within 1 ms. The results of on-site testing indicated that the SN could be configured on the relevant equipment quickly and detect the abnormal vibration in specific equipment effectively. Each SN could be used more than 10 h at the 80 Hz transmission rate under WMN architecture and the loss rate of transmission was less than 0.01% within 20 m.

show abstract