Environment Monitoring for Anomaly Detection System Using Smartphones
Currently, the popularity of smartphones with networking capabilities equipped with various sensors and the low cost of the Internet have opened up great opportunities for the use of smartphones for sensing systems. One of the most popular applications is the monitoring and the detection of anomalie...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/18/3834 |
| _version_ | 1818035385507250176 |
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| author | Van Khang Nguyen Éric Renault Ruben Milocco |
| author_facet | Van Khang Nguyen Éric Renault Ruben Milocco |
| author_sort | Van Khang Nguyen |
| collection | DOAJ |
| description | Currently, the popularity of smartphones with networking capabilities equipped with various sensors and the low cost of the Internet have opened up great opportunities for the use of smartphones for sensing systems. One of the most popular applications is the monitoring and the detection of anomalies in the environment. In this article, we propose to enhance classic road anomaly detection methods using the Grubbs test on a sliding window to make it adaptive to the local characteristics of the road. This allows more precision in the detection of potholes and also building algorithms that consume less resources on smartphones and adapt better to real conditions by applying statistical outlier tests on current threshold-based anomaly detection methods. We also include a clustering algorithm and a mean shift-based algorithm to aggregate reported anomalies on data to the server. Experiments and simulations allow us to confirm the effectiveness of the proposed methods. |
| first_indexed | 2024-12-10T06:54:13Z |
| format | Article |
| id | doaj.art-b4e2b610c778415888653076b38b99e4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T06:54:13Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b4e2b610c778415888653076b38b99e42022-12-22T01:58:29ZengMDPI AGSensors1424-82202019-09-011918383410.3390/s19183834s19183834Environment Monitoring for Anomaly Detection System Using SmartphonesVan Khang Nguyen0Éric Renault1Ruben Milocco2SAMOVAR, CNRS, Télécom SudParis, Institut Polytechnique de Paris, 91011 Évry, FranceSAMOVAR, CNRS, Télécom SudParis, Institut Polytechnique de Paris, 91011 Évry, FranceGCAyS, UNComahue, Buenos Aires 1400, 8300 Neuquén, ArgentinaCurrently, the popularity of smartphones with networking capabilities equipped with various sensors and the low cost of the Internet have opened up great opportunities for the use of smartphones for sensing systems. One of the most popular applications is the monitoring and the detection of anomalies in the environment. In this article, we propose to enhance classic road anomaly detection methods using the Grubbs test on a sliding window to make it adaptive to the local characteristics of the road. This allows more precision in the detection of potholes and also building algorithms that consume less resources on smartphones and adapt better to real conditions by applying statistical outlier tests on current threshold-based anomaly detection methods. We also include a clustering algorithm and a mean shift-based algorithm to aggregate reported anomalies on data to the server. Experiments and simulations allow us to confirm the effectiveness of the proposed methods.https://www.mdpi.com/1424-8220/19/18/3834anomaly detectionanomalies aggregationsmartphone sensingsensor networks |
| spellingShingle | Van Khang Nguyen Éric Renault Ruben Milocco Environment Monitoring for Anomaly Detection System Using Smartphones Sensors anomaly detection anomalies aggregation smartphone sensing sensor networks |
| title | Environment Monitoring for Anomaly Detection System Using Smartphones |
| title_full | Environment Monitoring for Anomaly Detection System Using Smartphones |
| title_fullStr | Environment Monitoring for Anomaly Detection System Using Smartphones |
| title_full_unstemmed | Environment Monitoring for Anomaly Detection System Using Smartphones |
| title_short | Environment Monitoring for Anomaly Detection System Using Smartphones |
| title_sort | environment monitoring for anomaly detection system using smartphones |
| topic | anomaly detection anomalies aggregation smartphone sensing sensor networks |
| url | https://www.mdpi.com/1424-8220/19/18/3834 |
| work_keys_str_mv | AT vankhangnguyen environmentmonitoringforanomalydetectionsystemusingsmartphones AT ericrenault environmentmonitoringforanomalydetectionsystemusingsmartphones AT rubenmilocco environmentmonitoringforanomalydetectionsystemusingsmartphones |