Title
Smart Audio Sensors in the Internet of Things Edge for Anomaly Detection.
Abstract
Everyday objects are becoming smart enough to directly connect to other nearby and remote objects and systems. These objects increasingly interact with machine learning applications that perform feature extraction and model inference in the cloud. However, this approach poses several challenges due to latency, privacy, and dependency on network connectivity between data producers and consumers. To alleviate these limitations, computation should be moved as much as possible towards the IoT edge, that is on gateways, if not directly on data producers. In this paper, we propose a design framework for smart audio sensors able to record and pre-process raw audio streams, before wirelessly transmitting the computed audio features to a modular IoT gateway. In this paper, an anomaly detection algorithm executed as a micro-service is capable of analyzing the received features, hence detecting audio anomalies in real-time. First, to assess the effectiveness of the proposed solution, we deployed a real smart environment showcase. More in detail, we adopted two different anomaly detection algorithms, namely Elliptic Envelope and Isolation Forest, that were purposely trained and deployed on an affordable IoT gateway to detect anomalous sound events happening in an office environment. Then, we numerically compared both the deployments, in terms of end-to-end latency and gateway CPU load, also deriving some ideal capacity bounds.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2877523
IEEE ACCESS
Keywords
Field
DocType
Anomaly detection,digital signal processing,edge computing,embedded devices,Internet of Things,IoT gateway,machine learning,novelty detection,open-source platforms,outlier detection
Edge computing,Anomaly detection,Novelty detection,Digital signal processing,Smart environment,Computer science,Computer network,Raw audio format,Default gateway,Cloud computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Mattia Antonini100.34
Massimo Vecchio2244.49
Fabio Antonelli3323.14
Pietro Ducange456627.63
Charith Perera582750.52