Napačna izbira? Nič za to! Izdelke lahko vrnete do 30 dni
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Do 30 dni za vračilo
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.