Increasing sensor reliability through confidence attribution
Abstract The reliability of wireless sensor networks (WSN) is getting increasing importance as this kind of networks are becoming the communication base for many cyber-physical systems (CPS). Such systems rely on sensor data correctness to make decisions; therefore, faulty data can lead such systems...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sociedade Brasileira de Computação
2019-12-01
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| Series: | Journal of the Brazilian Computer Society |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13173-019-0094-6 |
| _version_ | 1797998336469368832 |
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| author | Roberto M. Scheffel Antônio A. Fröhlich |
| author_facet | Roberto M. Scheffel Antônio A. Fröhlich |
| author_sort | Roberto M. Scheffel |
| collection | DOAJ |
| description | Abstract The reliability of wireless sensor networks (WSN) is getting increasing importance as this kind of networks are becoming the communication base for many cyber-physical systems (CPS). Such systems rely on sensor data correctness to make decisions; therefore, faulty data can lead such systems to take wrong actions. Errors can be originated by sensor’s hardware failures or software bugs and also from the intentional interference of intruders. The gateways that connect such WSN to the Internet are natural intruders’ targets as they usually run conventional operating systems and communication protocols. This work proposes a confidence attribution scheme, based on lightweight predictors running on the sensors. The solution also proposes a parameterizable formula, in order to stamp every value sent by a sensor with a confidence level, calculated upon the values of a subset of correlated sensors. This work also presents an algorithm that can identify a defective sensor into its subset. The use of predictors and confidence attribution are proposed as the basis of a mechanism that increases the WSN resilience against sensor failure or bad data injection by intruders. Several simulations were performed to evaluate the detection efficiency against different types of sensor errors. This work also analyses mechanisms to deal with concept drifts in the WSN lifetime. |
| first_indexed | 2024-04-11T10:47:02Z |
| format | Article |
| id | doaj.art-be924dee59034c2dacf0635dff4b8e8a |
| institution | Directory Open Access Journal |
| issn | 0104-6500 1678-4804 |
| language | English |
| last_indexed | 2024-04-11T10:47:02Z |
| publishDate | 2019-12-01 |
| publisher | Sociedade Brasileira de Computação |
| record_format | Article |
| series | Journal of the Brazilian Computer Society |
| spelling | doaj.art-be924dee59034c2dacf0635dff4b8e8a2022-12-22T04:29:01ZengSociedade Brasileira de ComputaçãoJournal of the Brazilian Computer Society0104-65001678-48042019-12-0125112010.1186/s13173-019-0094-6Increasing sensor reliability through confidence attributionRoberto M. Scheffel0Antônio A. Fröhlich1Software/Hardware Integration Lab (LISHA), Computer Science Department, Federal University of Santa Catarina (UFSC)Software/Hardware Integration Lab (LISHA), Computer Science Department, Federal University of Santa Catarina (UFSC)Abstract The reliability of wireless sensor networks (WSN) is getting increasing importance as this kind of networks are becoming the communication base for many cyber-physical systems (CPS). Such systems rely on sensor data correctness to make decisions; therefore, faulty data can lead such systems to take wrong actions. Errors can be originated by sensor’s hardware failures or software bugs and also from the intentional interference of intruders. The gateways that connect such WSN to the Internet are natural intruders’ targets as they usually run conventional operating systems and communication protocols. This work proposes a confidence attribution scheme, based on lightweight predictors running on the sensors. The solution also proposes a parameterizable formula, in order to stamp every value sent by a sensor with a confidence level, calculated upon the values of a subset of correlated sensors. This work also presents an algorithm that can identify a defective sensor into its subset. The use of predictors and confidence attribution are proposed as the basis of a mechanism that increases the WSN resilience against sensor failure or bad data injection by intruders. Several simulations were performed to evaluate the detection efficiency against different types of sensor errors. This work also analyses mechanisms to deal with concept drifts in the WSN lifetime.https://doi.org/10.1186/s13173-019-0094-6Wireless sensors networksConfidence attributionFault detection |
| spellingShingle | Roberto M. Scheffel Antônio A. Fröhlich Increasing sensor reliability through confidence attribution Journal of the Brazilian Computer Society Wireless sensors networks Confidence attribution Fault detection |
| title | Increasing sensor reliability through confidence attribution |
| title_full | Increasing sensor reliability through confidence attribution |
| title_fullStr | Increasing sensor reliability through confidence attribution |
| title_full_unstemmed | Increasing sensor reliability through confidence attribution |
| title_short | Increasing sensor reliability through confidence attribution |
| title_sort | increasing sensor reliability through confidence attribution |
| topic | Wireless sensors networks Confidence attribution Fault detection |
| url | https://doi.org/10.1186/s13173-019-0094-6 |
| work_keys_str_mv | AT robertomscheffel increasingsensorreliabilitythroughconfidenceattribution AT antonioafrohlich increasingsensorreliabilitythroughconfidenceattribution |