Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

A central use case for the Internet of Things (IoT) is the adoption of sensors to monitor physical processes, such as the environment and industrial manufacturing processes, where they provide data for predictive maintenance, anomaly detection, or similar. The sensor devices are typically resource-constrained in terms of computation and power, and need to rely on cloud or edge computing for data processing. However, the capacity of the wireless link and their power constraints limit the amount of data that can be transmitted to the cloud. While this is not problematic for the monitoring of slowly varying processes such as temperature, it is more problematic for complex signals such as those captured by vibration and acoustic sensors. In this paper, we consider the specific problem of remote anomaly detection based on signals that fall into the latter category over wireless channels with resource-constrained sensors. We study the impact of source coding on the detection accuracy with both an anomaly detector based on Principal Component Analysis (PCA) and one based on an autoencoder. We show that the coded transmission is beneficial when the signal-to-noise ratio (SNR) of the channel is low, while uncoded transmission performs best in the high SNR regime.

Original languageEnglish
Title of host publication2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Number of pages5
PublisherIEEE
Publication date30 Sep 2021
Pages251-255
Article number9593188
ISBN (Print)978-1-6654-2852-1
ISBN (Electronic)978-1-6654-2851-4
DOIs
Publication statusPublished - 30 Sep 2021
Event2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) - Lucca, Italy
Duration: 27 Sep 202130 Sep 2021

Conference

Conference2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Country/TerritoryItaly
CityLucca
Period27/09/202130/09/2021
SeriesIEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
ISSN1948-3252

Keywords

  • Remote monitoring
  • anomaly detection
  • channel coding
  • source coding

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