Placement optimization in sensors network using a linear discernment analyses-based clustering for smart greenhouse
| dc.contributor.author | Bentoumi, Adel | |
| dc.contributor.author | Belhani, Ahmed | |
| dc.date.accessioned | 2025-04-20T16:25:05Z | |
| dc.date.available | 2025-04-20T16:25:05Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | The location of the sensors is generally determined based on the experience of greenhouse producers and designers. To monitor accurately the interior environment of a greenhouse, the installation locations of sensors must be carefully chosen. In this study, we propose a linear discriminant analysis (LDA) which chooses an optimal configuration of sensors for a particular application from a whole set of Networks. The proposed method finds the direction w via the LDA such that when data are projected onto this direction, The scheme aims to split the large network into irregular subareas, regarded as blocks. In each of such blocks, the nodes measurements are as uniformly correlated as possible in placement from each cluster. | |
| dc.identifier.uri | http://dspace.univ-oeb.dz:4000/handle/123456789/21907 | |
| dc.language.iso | en | |
| dc.publisher | University of Oum El Bouaghi | |
| dc.subject | LoT; Sensors; Clustering; OSP; Smart greenhouse; LDA | |
| dc.title | Placement optimization in sensors network using a linear discernment analyses-based clustering for smart greenhouse | |
| dc.type | Article |
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