Title: A research on power optimisation of wireless vibration sensors by the embedded data pre-processing

Authors: Xuejun Ni

Addresses: Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China

Abstract: This thesis proposes a low power consumption and low-cost wireless sensor network for vibration signal monitoring. To achieve this, a local condition indicator algorithm is implemented within the vibration sensor, enabling the transmission of indicator data instead of raw data. This approach significantly reduces power consumption while maintaining accuracy. Extensive testing confirms the effectiveness of the proposed solution, demonstrating improved power efficiency by nearly 98% without compromising data accuracy. This innovative approach allows for scalable and distributed measurement of vibration signals, benefiting fault diagnosis and condition monitoring in industrial and engineering applications.

Keywords: wireless vibration sensor; fault diagnosis; embedded system.

DOI: 10.1504/IJWMC.2026.150856

International Journal of Wireless and Mobile Computing, 2026 Vol.30 No.1, pp.53 - 60

Accepted: 08 May 2024
Published online: 24 Dec 2025 *

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