…
comment: The repository administrator has not yet configured an RDF license.
primary topic: Using Compressive Sampling to Fill Interbatch Data Gap From Low-Cost IoT Vibration Sensor

Using Compressive Sampling to Fill Interbatch Data Gap From Low-Cost IoT Vibration Sensor
type: AcademicArticle
type: Article
abstract: A low-cost wireless vibration sensor can be built using a 3-axis accelerometer, such as ADXL345, attached to a low-cost Wi-Fi microchip, such as ESP8266. In an Internet of Things (IoT) setting, a large number of such inexpensive sensor nodes can be setup with the widely used direct-read-and-send method which samples and sends individually acquired vibration data points from the sensor through the Internet to a server. In this work, we show that such a method is not effective. As the microcontroller alternates between sampling and sending the data, the micro delays of transmission will affect the sensor sampling rate and cause the data points to space unevenly, making the acquired data inaccurate. We propose that vibration should be sampled and transmitted in batches, as such data are acquired continuously without interruption and data points are more evenly spaced. However, the proposed batch-read-and-send will have interbatch gaps that need to be filled. Thus, the key contribution of this work is the novel use of compressive sampling (CS) technique to bridge those gaps. Experimental results show that the direct-read-and-send method loses more information and can only achieve a maximum sampling rate of 350 Hz with a standard uncertainty of 12.4, whereas the proposed solution can measure the vibration wirelessly and continuously up to 633 Hz. Gaps with up to 160 missing points can be filled using CS and achieve better accuracy, with a mean absolute error (MAE) of up to 0.048 and a standard uncertainty of 0.001, making the low-cost wireless vibration sensor a cost-effective solution in an IoT setting. © 2014 IEEE.
date: 2022
volume: 9
issue: 12
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

Institute of Electrical and Electronics Engineers Inc.
type: Organization

IEEE Internet of Things Journal
type: Collection

Boonyaik Yaik Ooi
type: Person
given name: Boonyaik Yaik
family name: Ooi

W. L. Beh
type: Person
given name: W. L.
family name: Beh

Soung Yue Liew
type: Person
given name: Soung Yue
family name: Liew

Shervin Shirmohammadi
type: Person
given name: Shervin
family name: Shirmohammadi

Xin Yi Kh'ng
type: Person
given name: Xin Yi
family name: Kh'ng

HTML Summary of #20431 Using Compressive Sampling to Fill Interbatch Data Gap From Low-Cost IoT Vibration Sensor
format: text/html
primary topic: Using Compressive Sampling to Fill Interbatch Data Gap From Low-Cost IoT Vibration Sensor