A fuzzy agent approach for smart data extraction in big data environments
The era of big data has brought new challenges in data processing ad management. Existing analytical tools are now close to facing ongoing challenges thus providing satisfactory results at a reasonable cost. However, the velocity at which new data are flooded and the noise generated from such a larg...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-05-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157819302010 |
| _version_ | 1819276540553199616 |
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| author | Zakarya Elaggoune Ramdane Maamri Imane Boussebough |
| author_facet | Zakarya Elaggoune Ramdane Maamri Imane Boussebough |
| author_sort | Zakarya Elaggoune |
| collection | DOAJ |
| description | The era of big data has brought new challenges in data processing ad management. Existing analytical tools are now close to facing ongoing challenges thus providing satisfactory results at a reasonable cost. However, the velocity at which new data are flooded and the noise generated from such a large volume leads to various new challenges.The present research combines two artificial intelligence fields the represented by multi-agent technologies and fuzzy logic inference systems in order to extract the needed smart data from big noisy ones. A multi-fuzzy agent-based large-scale wireless sensor network has been used to demonstrate the effectiveness of the proposed approach. It handles sensors as autonomous fuzzy agents to measure the relevance of the collected data and eliminate the irrelevant ones. The results of the simulation exhibit a high quality of the data with a decrease in the sensors energy consumption, leading to a longer lifetime of the network. |
| first_indexed | 2024-12-23T23:41:51Z |
| format | Article |
| id | doaj.art-4ca312d5193042fab55d4c4dfc20147c |
| institution | Directory Open Access Journal |
| issn | 1319-1578 |
| language | English |
| last_indexed | 2024-12-23T23:41:51Z |
| publishDate | 2020-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj.art-4ca312d5193042fab55d4c4dfc20147c2022-12-21T17:25:38ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782020-05-01324465478A fuzzy agent approach for smart data extraction in big data environmentsZakarya Elaggoune0Ramdane Maamri1Imane Boussebough2Corresponding author at: LIRE Laboratory, University of Constantine II – Abdelhamid Mehri, Nouvelle ville Ali Mendjli, BP: 67A Constantine, Algeria.; LIRE Laboratory, University of Constantine II – Abdelhamid Mehri, Constantine, AlgeriaLIRE Laboratory, University of Constantine II – Abdelhamid Mehri, Constantine, AlgeriaLIRE Laboratory, University of Constantine II – Abdelhamid Mehri, Constantine, AlgeriaThe era of big data has brought new challenges in data processing ad management. Existing analytical tools are now close to facing ongoing challenges thus providing satisfactory results at a reasonable cost. However, the velocity at which new data are flooded and the noise generated from such a large volume leads to various new challenges.The present research combines two artificial intelligence fields the represented by multi-agent technologies and fuzzy logic inference systems in order to extract the needed smart data from big noisy ones. A multi-fuzzy agent-based large-scale wireless sensor network has been used to demonstrate the effectiveness of the proposed approach. It handles sensors as autonomous fuzzy agents to measure the relevance of the collected data and eliminate the irrelevant ones. The results of the simulation exhibit a high quality of the data with a decrease in the sensors energy consumption, leading to a longer lifetime of the network.http://www.sciencedirect.com/science/article/pii/S1319157819302010Big dataMulti-agent systemsWireless sensor networkFuzzy logicSmart data |
| spellingShingle | Zakarya Elaggoune Ramdane Maamri Imane Boussebough A fuzzy agent approach for smart data extraction in big data environments Journal of King Saud University: Computer and Information Sciences Big data Multi-agent systems Wireless sensor network Fuzzy logic Smart data |
| title | A fuzzy agent approach for smart data extraction in big data environments |
| title_full | A fuzzy agent approach for smart data extraction in big data environments |
| title_fullStr | A fuzzy agent approach for smart data extraction in big data environments |
| title_full_unstemmed | A fuzzy agent approach for smart data extraction in big data environments |
| title_short | A fuzzy agent approach for smart data extraction in big data environments |
| title_sort | fuzzy agent approach for smart data extraction in big data environments |
| topic | Big data Multi-agent systems Wireless sensor network Fuzzy logic Smart data |
| url | http://www.sciencedirect.com/science/article/pii/S1319157819302010 |
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