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Beschreibung
In this project, we present a parallel version of the k-nearest neighbor (k-ppv) algorithm. The aim is to optimize the allocation of radio nodes in a cognitive radio network already structured in clusters. We adopted a multi-agent modeling approach and selected the JADE multi-agent platform for our simulations. The results obtained are promising, with a reduction in execution time of around 50% compared with the basic sequential algorithm.
Using the K-nearest neighbor method
Details
| Verlag | Our Knowledge Publishing |
| Ersterscheinung | März 2024 |
| Maße | 22 cm x 15 cm x 0.4 cm |
| Gewicht | 102 Gramm |
| Format | Softcover |
| ISBN-13 | 9786207307920 |
| Seiten | 56 |
Schlagwörter
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