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A Multi-agent System for Outliers Accommodation in Wireless Sensor Networks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gil, Paulo Palma, Luís Brito Santos, Amâncio Cardoso, Alberto |
| Copyright Year | 2014 |
| Abstract | In monitoring applications the accuracy of data is paramount. When considering wireless sensor networks the quality of readings taken from the environment may be hampered by outliers in raw data collected from transmitters attached to nodes' analogue-to-digital converter ports. To improve the data quality sent to the base-station, a real-time data analysis should be implemented at nodes' level, while taking into account their computing power and storage limitations. This paper deals with the problem of outliers detection and accommodation in raw data. The proposed approach relies on univariate statistics within an hierarchical multi-agent framework. Results from experiments on a real monitoring scenario, at a major oil refinery plant, show the relevance of the proposed approach. |
| Starting Page | 457 |
| Ending Page | 468 |
| Page Count | 12 |
| File Format | PDF HTM / HTML |
| DOI | 10.17706/ijcee.2014.v6.864 |
| Alternate Webpage(s) | http://www.ijcee.org/papers/864-TD010.pdf |
| Alternate Webpage(s) | https://doi.org/10.17706/ijcee.2014.v6.864 |
| Volume Number | 6 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
