eprintid: 20439
rev_number: 3
eprint_status: archive
userid: 1
dir: disk0/00/02/04/39
datestamp: 2026-01-12 12:18:19
lastmod: 2026-01-12 12:18:19
status_changed: 2026-01-12 12:18:19
type: conference_item
metadata_visibility: show
creators_name: Ooi, Boonyaik Yaik
creators_name: Liew, Soung Yue
creators_name: Beh, W. L.
creators_name: Shirmohammadi, Shervin
title: Inter-Batch Gap Filling Using Compressive Sampling for Low-Cost IoT Vibration Sensors
ispublished: pub
keywords: Compressed sensing; Cost effectiveness; Costs; Machinery; Sensor nodes; System-on-chip; Ventilation exhausts; Wireless local area networks (WLAN); 3-axis accelerometer; Compressive sampling; Cost-effective solutions; Low-cost solution; Mean absolute error; Self-contained systems; Standard uncertainty; Wi-Fi connections; Internet of things
note: Cited by: 1
abstract: To measure machinery vibration, a sensor system consisting of a 3-axis accelerometer, ADXL345, attached to a self-contained system-on-a-chip with integrated Wi-Fi capabilities, ESP8266, is a low-cost solution. In this work, we first show that in such a system, the widely used direct-read-and-send method which samples and sends individually acquired vibration data points to the server is not effective, especially using Wi-Fi connection. We show that the micro delays in each individual data transmission will limit the sensor sampling rate and will also affect the time of the acquired data points not evenly spaced. Then, we propose that vibration should be sampled in batches before sending the acquired data out from the sensor node. The vibration for each batch should be acquired continuously without any form of interruption in between the sampling process to ensure the data points are evenly spaced. To fill the data gaps between the batches, we propose the use of compressive sampling technique. Our experimental results show that the maximum sampling rate of the direct-read-and-send method is 350Hz with a standard uncertainty of 12.4, and the method loses more information compared to our proposed solution that can measure the vibration wirelessly and continuously up to 633Hz. The gaps filled using compressive sampling can achieve an accuracy in terms of mean absolute error (MAE) of up to 0.06 with a standard uncertainty of 0.002, making the low-cost vibration sensor node a cost-effective solution. © 2021 IEEE.
date: 2021
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113710402&doi=10.1109%2FI2MTC50364.2021.9460080&partnerID=40&md5=786b53d80b228036c6c430f8bc899eb2
id_number: 10.1109/I2MTC50364.2021.9460080
full_text_status: none
publication: Conference Record - IEEE Instrumentation and Measurement Technology Conference
volume: 2021-M
refereed: TRUE
isbn: 9780879425791; 0879425792; 9781665453837; 9781665483605; 9781467346221; 9781467392204; 0780372182; 1424415411; 0780388798; 078038248X
issn: 10915281
citation:   Ooi, Boonyaik Yaik and Liew, Soung Yue and Beh, W. L. and Shirmohammadi, Shervin  (2021) Inter-Batch Gap Filling Using Compressive Sampling for Low-Cost IoT Vibration Sensors.  In: UNSPECIFIED.